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Dentistry JournalDentistry Journal
  • Review
  • Open Access

25 November 2025

Transforming Dental Care, Practice and Education with Additive Manufacturing and 3D Printing: Innovations in Materials, Technologies, and Future Pathways

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1
Department of Public Administration, Louisiana State University, Baton Rouge, LA 70820, USA
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LaHouse Research and Education Center, Louisiana State University Agricultural Center, Baton Rouge, LA 70820, USA
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College of Dental Medicine, Lincoln Memorial University, Knoxville, TN 37923, USA
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Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA
This article belongs to the Special Issue 3D Printing Technology in Dentistry

Abstract

Additive manufacturing (AM), commonly known as 3D printing, is revolutionizing modern dentistry, introducing high-precision, patient-specific, and digital-driven workflows across prosthodontics, orthodontics, implantology, and maxillofacial surgery. Extensive analysis explores the leading platforms in 3D printing such as stereolithography (SLA), fused deposition modeling (FDM), selective laser sintering (SLS), digital light processing (DLP), and PolyJet which all achieve superior performance across multiple areas including resolution capabilities, material compatibility options, clinical application readiness, and cost-effectiveness. Additionally, an extensive overview of common materials, including biocompatible polymers (PLA, PMMA, PEEK), metals (titanium, cobalt-chromium), and ceramics (zirconia, alumina, glass-ceramics), sheds light on the critical role of material selection for patient safety, durability, and functional performance. The review explores new advancements such as 4D printing with shape-adaptive smart biomaterials as well as artificial intelligence-enabled digital processes and prosthesis design for the transformation of regenerative dentistry and intraoral drug delivery operations into new domains and the automation of clinical planning. Equally groundbreaking are 3D printing applications in pediatric dentistry, surgical simulation, and dental education. However, full-scale adoption of AM technology is not without challenges, including material toxicity, regulatory hurdles for approval, high initial investments, and the need for extensive digital expertise training. Sustainability concerns are also being addressed, with recycled materials and circular economy models gaining traction. In conclusion, this article advocates for a future where dentistry is shaped by interdisciplinary collaboration, intelligent automation, and hyper-personalized biocompatible solutions, with 3D printing firmly established as the backbone of next-generation dental care.

1. Introduction

Additive manufacturing (AM), also known as 3D printing, is rapidly revolutionizing dental science by enabling unparalleled precision, personalization, and workflow efficiency in clinical practice. In contrast to traditional subtractive techniques, additive manufacturing fabricates dental items incrementally from digital models, minimizing material waste and production duration while enabling intricate geometries [1]. This technological advancement enhances treatment precision and significantly improves individualized patient care across various dental specialties [2].
The implementation of digital workflows such as intraoral scanning, computer-aided design (CAD), and computer-aided manufacturing (CAM) has significantly expedited the incorporation of 3D printing into dental practice [3]. These advances are transforming the production of crowns, bridges, surgical guides, orthodontic devices, and maxillofacial prostheses by enhancing accuracy, expediting manufacturing, and tailoring them to specific anatomical needs [4,5].
Numerous 3D printing technologies such as stereolithography (SLA), fused deposition modeling (FDM), selective laser sintering (SLS), and digital light processing (DLP) are extensively utilized in dental applications, each presenting distinct advantages in resolution, speed, and material compatibility [6,7]. Advancements in biocompatible materials, including polymers, ceramics, and metal alloys, enhancing the scope and dependability of dental applications, ranging from temporary models to permanent restorations and tissue scaffolds [8,9]. The fundamentals of 3D printing in biomedical engineering underscore its interdisciplinary nature, enabling the creation of custom implants and prosthetics that bridge engineering innovation with clinical application [10].
Furthermore, to date, no recent comprehensive review has been conducted to evaluate the latest publications in this field. Therefore, the present review aims to summarize and discuss recent advances in the application of additive manufacturing in dentistry. The primary objective of this review is to provide a comprehensive examination of additive manufacturing in dental science, focusing on contemporary materials, printing technologies, and clinical applications. Additionally, it examines emerging breakthroughs, such as 4D printing and the integration of artificial intelligence (AI), as well as the prevailing challenges and prospective trajectories that will shape the forthcoming evolution of dental care.

2. Additive Manufacturing Techniques in Dentistry

2.1. Overview of 3D Printing Technologies

Additive manufacturing (AM) in dentistry encompasses various 3D printing technologies with distinct mechanisms, materials, and applications. The most used techniques include SLA, FDM, SLS, DLP, PolyJet, and others. SLA uses lasers to cure liquid resin layer by layer, producing high-resolution, smooth-surfaced models. It is widely used for surgical guides, crowns, and bridges due to its precision [5,7]. FDM extrudes thermoplastic filaments through a heated nozzle. It is cost-effective and suitable for educational models and preliminary prototypes, although it offers lower resolution than SLA or DLP [11]. SLS uses a laser to convert powdered materials into solid structures, typically nylon or metal. It is valued for its strength and is often used in the production of durable dental prosthetics and frameworks [12]. Like SLA, DLP uses a digital light projector to cure the resin. It is faster than SLA and provides excellent resolution, making it ideal for detailed dental restorations [3,6]. PolyJet technology jets photopolymer layers onto a build platform and cures them with UV light. It enables multi-material and multi-color printing, making it particularly useful for anatomical models and complex prosthetics [13].

2.2. Comparative Analysis of Techniques

Comparative studies have shown that the trueness of dental master casts can vary significantly depending on the 3D printing technology used, underscoring the importance of selecting appropriate methods for high-precision applications [14]. Table 1 is showing how each 3D printing method offers unique advantages and limitations in terms of accuracy, resolution, speed, and cost, which influence their suitability for specific dental applications:
Table 1. Comparative Analysis of Techniques.
The choice of technology depends on the clinical requirements, budget, and desired material properties. For instance, SLA and DLP are preferred for high-precision restorations, while FDM is often used in educational settings due to its affordability and ease of use [6,7].

3. Materials Used in Dental 3D Printing

3.1. Polymers

Polymers are among the most widely used materials in dental 3D printing due to their versatility, biocompatibility, and ease of processing. Commonly used polymers include polylactic acid (PLA), polymethyl methacrylate (PMMA), polyether ether ketone (PEEK), and resins. PLA is a biodegradable thermoplastic derived from renewable resources and is frequently used in FDM printing for educational models and temporary restorations [8]. PMMA is known for its aesthetic properties and biocompatibility. PMMA fabricates dentures and provisional crowns [5]. PEEK is a high-performance polymer known for its exceptional mechanical strength and chemical resistance, significantly enhancing the quality and durability of dental prostheses and implants. It has been suggested that a CAD-CAM three-piece PEEK FDP has a higher tensile strength compared to a compacted granular- or pellet- shaped PEEK denture [16]. Photopolymer resins are extensively used in SLA and DLP printing for producing surgical guides, crowns, and bridges due to their high resolution and smooth finish [15].

3.2. Metals

Metals are essential in dental applications requiring high strength and durability. The most used metals are titanium and cobalt-chrome alloys. Titanium is valued for its biocompatibility and corrosion resistance and is widely used in dental implants and frameworks [17]. Cobalt-chrome alloys offer excellent mechanical properties and are used in removable partial dentures and fixed prosthodontics [8].

3.3. Ceramics and Composites

3D printing continues to evolve in restorative dentistry, with applications now extending beyond diagnostic models to include interim and permanent restorations, occlusal splints, and maxillofacial prosthetics, supported by ongoing advancements in ceramic and hybrid materials [18]. Ceramics are favored in restorative dentistry for their aesthetic qualities and wear resistance. Key materials are zirconia, alumina, and glass ceramics. Zirconia is renowned for its exceptional strength and its resemblance to tooth enamel. Zirconia is used in crowns, bridges, and implant abutments [8]. Alumina offers high hardness and is used in ceramic restorations where aesthetics is critical [5]. Glass ceramics materials combine the translucency of glass with the strength of ceramics, making them ideal for anterior restorations [6].

3.4. Biocompatibility and Testing Challenges

Many materials used in healthcare 3D printing from polymers to composites are being evaluated for their biocompatibility, mechanical strength, and suitability for specific clinical applications, including dental restorations and implants [19]. Biomaterials used in 3D printing are continually evolving to meet the demands of dental applications, with a focus on enhancing biocompatibility, mechanical strength, and adaptability to address diverse clinical needs [20]. Despite the advancements in materials, ensuring biocompatibility remains a critical challenge. Key concerns are:
  • Cytotoxicity: Residual monomers from incomplete polymerization can lead to cytotoxic effects, especially in resins [21].
  • Post-Processing Requirements: Proper curing, cleaning, and sterilization are essential to minimize toxicity and ensure mechanical integrity [15].
  • Regulatory Compliance: Materials must meet stringent standards for safety and efficacy, which can vary by region and application [22].
Table 2 is a summary table comparing the primary categories of materials used in 3D printing for dental applications, and it provides a quick reference for selecting materials based on clinical needs, balancing performance, aesthetics, and cost.
Table 2. Summary of primary category of materials used in 3D printing dental application.
Ongoing research is focused on developing new materials with enhanced biocompatibility, improved mechanical properties, and increased environmental sustainability. Recent findings suggest that the mechanical performance and surface quality of 3D-printed provisional fixed dental prostheses are significantly influenced by printing orientation, material composition, and post-processing protocols, with horizontal orientations and zirconia-filled resins yielding superior outcomes [23].

4. Applications in Dental Practice

4.1. Prosthodontics

3D printing has significantly advanced prosthodontics by enabling the fabrication of highly accurate and customized dental restorations [24]. Additive manufacturing has demonstrated significant potential across biomedical fields, particularly in producing customized prosthetics, implants, and scaffolds, capabilities that are increasingly being leveraged in dental applications for both functional and aesthetic outcomes [25]. Common applications are:
  • Crowns and Bridges: Printed using biocompatible resins and ceramics for high precision and aesthetics [15].
  • Dentures: Rapid prototyping enables a quicker turnaround and a better fit, thereby improving patient comfort and satisfaction [5].

4.2. Orthodontics

In orthodontics, some types of 3D printers are commonly used, such as, stereolithography (SLA), FDM, digital light procession (DLP), polyjet photopolymer (PPP), and selective laser sintering (SLS) [26]. Overall, the use of AM technology and 3D printers alongside intraoral scanners eliminates the need for tedious dental impressions and lengthy manual processes, such as gypsum casting, in some orthodontic workflows, resulting in a reproducible, fast, digitalized workflow. The digital fast and robust workflow guides the AM, 3D printing techniques open precision care through more patient-specific designs, enabling doctors to develop new solutions for complicated cases [27]. A large percentage of the research on AM in orthodontics has focused on the accuracy and robustness of 3D-printed orthodontic models. For constructive appliances, dynamic orthodontic models are frequently required to ensure accuracy and better adjustment. Some research has shown the rigor, efficiency, consistency, and reproducibility of orthodontic models produced by additive manufacturing (AM) and 3D printers. Orthodontic models produced by AM and 3D printers are proven suitable for clinical use. Various methods, such as intraoral scanning, re-scanning existing plaster models, or comparing with a typodont model, are used to formulate 3D printed orthodontic models [27,28,29,30,31,32]. For example, in an experimental study, Anita Fekonja and colleagues tested and evaluated additively manufactured clear aligners for solving orthodontic malocclusions. They designed the crown using 3D dental design software and produced it using selective laser melting (SLM) technology. They used a custom-made fixed sagittal guidance (FSG) appliance that was fitted on the upper molars and compared it with the SLM-based molar and the traditionally constructed one. The results show the great potential and adaptability of AM in orthodontic treatment [33]. AM and 3D printing technologies can increase the accuracy and reproducibility of dental casts, especially in mechanical aspects such as the base design. AM-based techniques do not affect the accuracy of the layer height or the position of the 3D-printed template-generated model [34]. Additive manufacturing (AM) also supports the creation of personalized orthodontic appliances, such as in aligners and retainers: Digital workflows enable the production of clear aligners with a precise fit.
Also AM has improved the fabrication in orthodontic space maintainers where custom-fitting devices can be printed quickly, which is especially beneficial in pediatric cases [35].

4.3. Pediatric Dentistry

Additive manufacturing (AM), commonly referred to as 3D printing, is revolutionizing pediatric dentistry by enabling the production of highly customized devices and educational tools tailored to the unique anatomical, developmental, and psychological needs of young patients. The integration of digital workflows, including intraoral scanning, computer-aided design (CAD), and computer-aided manufacturing (CAM), enhances precision, efficiency, and patient experience in pediatric dental care [36,37]. AM technologies such as stereolithography (SLA), digital light processing (DLP), and fused deposition modeling (FDM) are particularly valuable due to their ability to produce high-resolution, biocompatible devices with minimal material waste [38,39].
Space maintainers are crucial for preventing malocclusion and ensuring proper dental arch development in children who have experienced premature tooth loss. Traditional fabrication methods, such as manual casting, are time-consuming and often result in suboptimal fit [40,41]. AM addresses these challenges by enabling the rapid production of patient-specific space maintainers using biocompatible polymers, such as polylactic acid (PLA) or photopolymer resins. Digital workflows, which combine intraoral scanners and CAD software (DentalCAD; exocad GmbH), enable clinicians to design maintainers that precisely conform to a child’s oral anatomy, thereby reducing discomfort and improving clinical outcomes [41,42]. A study by Tamburrino et al. demonstrated that 3D-printed space maintainers, fabricated using digital light processing (DLP) with a biocompatible photopolymer resin (“OD-Clear MF Bio monomer free”), achieved high dimensional accuracy and precise fit, significantly outperforming conventional band-and-loop space maintainers in terms of fit and fabrication speed [43]. The study employed a fully digital workflow that involved intraoral scanning, generative design, and DLP-based additive manufacturing, resulting in space maintainers with smooth surface finishes and accurate geometries that conformed to the patient’s dental anatomy without clearance or interference. The digital approach reduced fabrication time compared to traditional manual methods, as it eliminated the need for extensive band selection and manual adjustments, thereby minimizing chair time, a critical factor in pediatric dentistry where patient cooperation is paramount [43].
Pediatric patients frequently experience anxiety during dental visits, which can hinder treatment compliance. 3D-printed anatomical models of teeth, jaws, and oral structures serve as educational tools to demystify procedures, thereby reducing fear and enhancing patient engagement. These models, typically produced using cost-effective FDM with PLA or multi-material PolyJet for realistic textures, allow clinicians to visually explain treatments to children and their guardians in an age-appropriate manner [44,45]. A narrative review by Kasihani and Rikawarastuti found that 3D-printed models improved children’s understanding of procedures by 40%, leading to reduced anxiety and increased cooperation [44]. These models are also valuable in parental education, fostering informed consent and trust [44]. Additionally, 3D-printed models are utilized in preclinical training, allowing dental students to practice pediatric procedures on replicas of complex anatomies, thereby enhancing procedural confidence and competence [44,46].
Despite its advantages, AM in pediatric dentistry faces several challenges. Ensuring the biocompatibility of materials for prolonged intraoral use is critical, as residual monomers from incomplete resin curing can pose cytotoxic risks [21]. The high initial cost of 3D printers and digital imaging systems can be prohibitive for small or rural clinics, exacerbating access disparities [47]. Regulatory compliance for pediatric devices necessitates stringent testing to ensure safety, particularly for long-term applications such as space maintainers or restorations [22]. Additionally, the adoption of AM necessitates training in digital workflows, which may be lacking among pediatric dentists.
The future of AM in pediatric dentistry lies in integrating bioprinting and regenerative technologies. Hydrogel-based bioinks, embedded with dental pulp stem cells or growth factors, could enable the regeneration of pulp tissue in young permanent teeth, thereby revolutionizing pulpal therapy [48]. The convergence of 3D printing with virtual reality (VR) and augmented reality (AR) presents opportunities for immersive patient education and procedural simulations, thereby further reducing anxiety [49]. Longitudinal clinical trials are necessary to validate the durability and safety of 3D-printed devices in pediatric populations, alongside efforts to develop cost-effective and sustainable materials that enhance accessibility.

4.4. Endodontics

Additive manufacturing is transforming endodontics by enabling the production of precise, patient-specific tools, obturation systems, and regenerative scaffolds that address the complexities of root canal anatomy. The integration of 3D printing with cone-beam computed tomography (CBCT) enhances the accuracy and efficiency of endodontic procedures, improving clinical outcomes and reducing procedural errors [50]. Technologies such as SLA, DLP, and PolyJet are widely used for their high resolution and compatibility with biocompatible materials, facilitating applications ranging from guided endodontics to tissue engineering. This section examines the role of AM in endodontics, its current applications, challenges, and emerging trends.
An in vitro study by Huth et al. compared the accuracy of root canal localization in 3D-printed teeth using dynamic navigation, static guides, and freehand techniques [51]. Static guides showed the least angle deviation (1.12 ± 0.85°), followed by dynamic navigation (2.82 ± 1.8°), and freehand (9.53 ± 6.36°). Dynamic navigation minimized tooth substance loss, while freehand caused the most. The operating time was shortest for the freehand method, followed by the static and dynamic methods. Guided approaches enhance precision and conserve tooth structure [51]. Another in vitro study evaluated the accuracy and root surface temperature changes during guided endodontic access cavity preparation using 58 single-rooted premolars. CBCT and intra-oral scans guided the design of 3D-printed plates for 40 teeth, with a custom bur used for access. Postoperative CBCT showed minimal deviations: 0.30 mm (tip) and 0.28 mm (base) mesial/distal, 0.28 mm (tip) and 0.25 mm (base) buccal/lingual, with an angle deviation of 3.62°. Temperature changes in 18 teeth, divided into three groups (guided endodontics, ET20, ProTaper F3), showed guided endodontics had the lowest mean root surface temperature rise (5.07 °C, p < 0.05). Guided endodontics offers feasible accuracy and minimal temperature increase; however, in vivo studies are needed to confirm its clinical reliability [52].
Regenerative endodontics aims to restore pulp vitality in immature permanent teeth, and AM plays a pivotal role by producing scaffolds for tissue engineering. Hydrogel-based bioinks, such as gelatin methacryloyl or sodium alginate combined with cellulose nanocrystals, are used to print scaffolds that support the proliferation of dental pulp stem cells (DPSCs) and promote revascularization [48]. Results of a study demonstrated that 3D-printed microgels successfully regenerated pulp-like tissue in vitro, with potential applications in revitalizing necrotic teeth. These scaffolds can be embedded with growth factors or drugs for controlled release, enhancing therapeutic efficacy [53].
3D-printed endodontic models replicate complex root canal anatomies for preclinical training, offering realistic tactile feedback and radiopacity. Produced using PolyJet technology with multi-material resins, these models simulate the properties of dentin and pulp, enabling students to practice access preparation and canal instrumentation [44,54,55]. A study by Reymus et al. reported that dental students trained on 3D-printed endodontic models achieved a 22% higher proficiency in root canal preparation compared to those using extracted teeth, highlighting the educational value of these models in preclinical training [56].
Another study by Ho et al. demonstrated that artificial incisor and molar models, fabricated using a self-developed multi-resin 3D printer with radiopaque A2 resin (incorporating 10% barium sulfate) for the tooth body and soft red resin for the pulp cavity, closely replicated the appearance, size, shape, and radiopacity of natural human teeth [55]. These models, created from micro-computed tomography data, improved trainee confidence and procedural accuracy in root canal treatment, suggesting an increased clinical success rate compared to conventional training models. The use of PolyJet technology enabled the precise differentiation of enamel, dentin, and pulp, providing realistic tactile feedback and radiographic visualization that are critical for practical endodontic training [55].
Ensuring the biocompatibility of printed materials, particularly for regenerative applications, requires rigorous testing to address cytotoxicity risks from residual monomers [57]. Regulatory frameworks for custom endodontic devices vary by region, which complicates the approval process [22].
Future advancements in endodontics will likely focus on bioprinting for whole-pulp regeneration, with bioinks engineered to mimic the extracellular matrix of dental pulp [53]. AI-driven design optimization, coupled with finite element analysis (FEA), could enhance the precision of endodontic guides and obturators by predicting biomechanical performance. A study highlighted that AI-driven tools, integrated with FEA, enable precise design of 3D-printed endodontic guides, improving canal access accuracy and biomechanical stability, offering transformative potential for personalized endodontic treatments [58].
The integration of VR/AR with 3D-printed models may enable real-time procedural simulations, improving training and treatment planning [49]. Longitudinal clinical trials are crucial for validating the durability and safety of 3D-printed endodontic devices, thereby paving the way for broader adoption.

4.5. Implantology

Additive manufacturing has transformed dental implantology by enabling the production of patient-specific implants, surgical guides, and restorative frameworks with unparalleled precision and biocompatibility. Technologies such as selective laser sintering (SLS), SLA, and DLP, combined with advanced imaging (CBCT) and computational modeling, optimizing implant design and placement, improving osseointegration, aesthetics, and long-term success [59,60]. This section explores the applications of AM in implantology, its challenges, and future innovations driving personalized and regenerative dental care.
3D-printed surgical guides are a cornerstone of modern implantology, enhancing the accuracy of implant placement. Fabricated using SLA or DLP with biocompatible resins, these guides are designed from CBCT scans to ensure precise drill positioning, angulation, and depth, minimizing risks of nerve damage or sinus perforation [61]. A meta-analysis by Tahmaseb et al. reported that 3D-printed guides achieved a mean angular deviation of less than 2 degrees and a linear deviation of 0.5 mm, significantly outperforming freehand techniques. The incorporation of press-fit metal bushings enhances drill stability, ensuring precise alignment with planned implant sites [62]. These guides are particularly valuable in complex cases, such as full-arch rehabilitation or patients with limited bone volume.
AM enables the fabrication of bespoke implants and abutments tailored to individual anatomies, improving osseointegration and aesthetic outcomes. Titanium and cobalt-chromium alloys, printed using SLS, offer high strength, corrosion resistance, and biocompatibility for permanent implants [17]. A study by Iezzi et al. evaluated a 3D-printed Ti-6Al-4V dental implant with a porous, acid-etched surface (TEST) compared to a machined surface (CTRL) [63]. Scanning electron microscopy revealed a highly interconnected porous architecture and rough surface in the TEST group. The TEST implants showed enhanced adhesion and proliferation of human oral osteoblasts (hOBs), increased expression of osseointegration biomarkers, and slightly higher collagen production. Human adipose-derived mesenchymal stem cells (hAD-MSCs) exhibited greater expression of endothelial and osteogenic markers. At the same time, monocytes showed increased synthesis of anti-inflammatory M2 phenotype mRNA, indicating the potential of these 3D-printed implants for future clinical use [63].
Custom abutments, printed with zirconia or PEEK, ensure precise marginal fit and aesthetic integration with soft tissues [5]. It has also been reported that 3D-printed zirconia abutments exhibit color stability and marginal accuracy within 50 μm, matching those of milled restorations [64].
The use of lattice structures in 3D-printed implants, designed via finite element analysis (FEA), mimics the porosity of natural bone, reducing stress shielding and promoting bone ingrowth. SLS-printed titanium implants with lattice designs have demonstrated enhanced biomechanical stability in animal models, characterized by increased bone-implant contact ratios [65]. AM enables the design of tailored scaffolds with customized geometries, mechanical properties, and biological responses, thereby addressing the variability of bone defects. The study emphasizes the importance of interdisciplinary collaboration among patients, clinicians, and engineers, integrating bone defect imaging, material selection, topography design, and fabrication methods to optimize integration and wound healing, advancing personalized medicine beyond traditional implant solutions [59].
AM supports the production of provisional crowns, bridges, and frameworks for implant-supported restorations using polymers like PEEK or ceramics like zirconia. These restorations, printed using DLP or SLA technology, ensure precise occlusion and aesthetics during the healing phase [66]. A study by Rues et al. compared the fit of 3D-printed zirconia veneers to milled zirconia veneers on resin-replicated maxillary central incisors prepared for thin veneers [67]. Cement gap sizes were measured at the margin, labial surface, and incisal edge. Milled veneers showed a better marginal fit, but 3D-printed veneers provided a superior fit at the incisal edge, as they eliminated the need for drill compensation, offering greater geometrical flexibility and clinically acceptable adaptation [67].
FEA and AI-driven modeling play a critical role in optimizing implant design. Quantitative computed tomography-based FEA frameworks, validated with digital image correlation, enable patient-specific simulations of stress distribution and load transfer, reducing failure risks [68]. Machine learning models trained on FEA data can predict implant performance and optimize lattice structures, expediting the design process. These tools enhance the precision of implant geometry and material selection, ensuring compatibility with individual biomechanical needs [69,70].
The high cost of metal 3D printers and CBCT systems limits accessibility, particularly in resource-constrained regions [71]. Regulatory approval for custom implants is complex, as it requires compliance with FDA or CE mark standards, which vary by region. The long-term durability of lattice-structured implants lacks extensive clinical data, necessitating further research [72]. Additionally, the integration of AM requires clinicians to acquire expertise in digital workflows, which may face resistance due to training gaps.
The integration of intelligent sensors into 3D-printed implants, enabled by advances in printed electronics, could allow real-time monitoring of osseointegration and biomechanical performance [73]. The convergence of AM with VR/AR technologies will enhance surgical planning and training, enabling immersive simulations of implant procedures [74,75]. Longitudinal clinical trials and standardized regulatory frameworks are crucial for validating the safety and efficacy of these innovations, thereby ensuring their integration into routine practice.

4.6. Maxillofacial and Oral Surgery

In oral oncology, 3D printing enables the development of personalized surgical guides and prosthetics, enhancing surgical accuracy and patient-specific treatment planning [76]. Complex anatomical structures can be replicated for surgical planning and reconstruction. Anatomical Models are used for preoperative planning and patient education [77]. Biocompatible scaffolds support tissue regeneration in reconstructive surgeries [48].
3D printed dental surgical guides are a prime example of precision instruments used in clinical settings within the medical domain. The distinctive anatomy of everyone is meticulously analyzed and crafted, resulting in the development of precise clinical guides that significantly enhance the accuracy and effectiveness of reconstructive procedures. This modeling approach is particularly beneficial in dental operations, where teeth serve as dependable and uniform reference points to ensure accurate placements. Surgical guides created through 3D printing with biocompatible resins are utilized to precisely determine the sites and depths necessary for dental implant drilling. Such a technique ensures that alignment with the existing dentition is maintained for optimal positioning.
Furthermore, press-fit metal bushings are integrated into the 3D printed design to ensure the drill bit is directed with precision. Generally, 3D-printed surgical guides necessitate the inclusion of bone or teeth; however, alternative reference points may also prove viable. Depending on the specific situation, 3D modeling software can be utilized to create a suitable model that accurately meets clinical objectives [78].

4.7. Dental Education and Simulation Training

3D-printed models have proven to be valuable tools in dental education, particularly in preclinical training, where they enhance student comprehension, procedural confidence, and engagement with complex anatomical structures [44]. Three-dimensional (3D) printed anatomical models are increasingly used in medical education to simulate complex procedures, providing hands-on training opportunities that enhance clinical skills and confidence [79].

4.8. Supplies for the Dental Clinics and Their Architectural Layout

Dental clinics face a heightened risk of COVID-19 transmission and cross-infection because many of the tools used during procedures generate aerosols, along with droplets of saliva, secretions, and blood. These substances can facilitate the spread of the virus between dental professionals and their patients [80]. During previous pandemics, there were mass stockpiles of drugs, personal protective equipment (PPE), and vaccines because of panic and increased demand. This may lead to mass catastrophes for people in need of immediate PPEs, drugs, and vaccines [81,82]. We can find new PPEs, drugs, and vaccines in the future more quickly by utilizing 3D printing technologies to overcome sudden shortages and meet high demand [83,84]. Like the medical treatments, shortages of personal protective equipment (PPE) have disrupted dental treatments during the COVID-19 pandemic. Since the COVID-19 pandemic, 3D-printed nasopharyngeal swabs, valves, PPEs such as face shields and facemasks, and many more medical devices have provided sufficient supplies in both medical and dental healthcare facilities. Therefore, 3D printing technologies can be utilized to produce an unlimited supply of PPEs and supplies for future dental care [84,85].

6. Challenges and Limitations

Despite the transformative potential of 3D printing in dentistry, several challenges and limitations hinder its widespread adoption and optimal use:
Material Limitations
  • Biocompatibility and Mechanical Properties: Not all printable materials meet the stringent requirements for long-term use in the oral cavity. Some resins may release residual monomers, posing cytotoxic risks [21].
  • Limited Material Diversity: Although polymers, metals, and ceramics are utilized, the range of materials suitable for specific dental applications remains narrow, particularly for permanent restorations [8].
  • Post-Processing Needs: Many materials require extensive post-curing, cleaning, and finishing to achieve desired properties, increasing complexity and time [15]. Surface optimization in fused filament fabrication has been shown to significantly impact the quality of dental implants, with parameters like layer thickness and build orientation playing a crucial role in achieving smoother finishes and better clinical outcomes [120].
Cost and Accessibility
  • High Initial Investment: Equipment, software, and materials can be expensive, especially for small or rural clinics [3].
  • Maintenance and Upgrades: Regular calibration, updates, and repairs add to operational costs.
  • Economic Disparities: Access to advanced 3D printing technologies is uneven across regions and institutions, limiting equitable adoption [47].
Regulatory and Standardization Issues
  • Lack of Unified Standards: Variability in material quality, printer performance, and post-processing protocols complicates regulatory approval [86].
  • Regulatory Complexity: Navigating FDA or CE mark requirements for custom medical devices can be time-consuming and costly [22].
  • Quality Assurance: Ensuring consistent output across different printers and batches remains a significant challenge.
Training and Adoption Barriers
  • Skill Gaps: Effective use of 3D printing requires knowledge of CAD/CAM, material science, and digital workflows, which many practitioners lack [121].
  • Resistance to Change: Some clinicians hesitate to adopt new technologies due to perceived complexity or disruption to established workflows.
  • Educational Integration: The limited inclusion of 3D printing in dental curricula hinders the development of a digitally fluent workforce [122].

7. Future Directions

7.1. Personalized and Regenerative Dentistry

The future of dental care is moving toward highly personalized treatments and biologically integrated solutions. Patient-specific restorations and prosthetics are becoming increasingly precise with the use of digital workflows and 3D printing [15]. Regenerative dentistry utilizes bioactive materials and scaffolds to stimulate tissue healing and regeneration, particularly in the fields of periodontics and endodontics [48]. Emerging applications of 3D printing in medicine, such as tissue engineering and patient-specific surgical planning, are increasingly influencing dental innovations, particularly in regenerative and personalized care [123]. 3D printing technologies increasingly enable the development of customized implants and controllable biosystems, offering new possibilities for precision dental therapies and regenerative applications [124].

7.2. Bioprinting of Dental Tissues

Bioprinting is emerging as a transformative technology in dental tissue engineering. Hydrogel-based bioinks are being developed to print scaffolds that support the growth of dental pulp stem cells [48]. Advancements in 3D printing technologies continue to drive innovation in medical materials, particularly in the development of biocompatible scaffolds and drug delivery systems, which hold promising implications for regenerative and restorative dental applications [125]. Innovations in 3D biomaterial printing enable the fabrication of functional, tissue-compatible constructs, laying the groundwork for future applications in regenerative dental therapies [126]. Future applications include bio-printed periodontal ligaments, dentin-pulp complexes, and even whole teeth, providing comprehensive solutions for complex oral tissue loss.

7.3. Integration with Virtual and Augmented Reality

The convergence of 3D printing with VR/AR technologies enhances clinical and educational experiences. Virtual surgical planning and augmented reality overlays enable clinicians to simulate procedures and visualize anatomical structures in real-time [49]. Dental education benefits from immersive simulations that utilize 3D-printed models combined with augmented reality (AR) for hands-on learning [44]. 3D printing accelerates healthcare innovation by reducing prototyping costs and enabling rapid development of patient-specific solutions, a trend increasingly reflected in dental research and practice [127].

7.4. Clinical Validation and Long-Term Studies

To ensure safe and effective integration into routine practice, future efforts must focus on Longitudinal clinical trials and standardization, as well as the development of regulatory frameworks. Longitudinal clinical trials to assess the durability, biocompatibility, and patient outcomes of 3D printed restorations and implants [128]. Standardization and regulatory frameworks to support widespread adoption and ensure consistent quality across devices and materials [86].

8. Conclusions

Additive manufacturing (AM) has become a revolutionary element in dentistry research, connecting digital innovation with clinical applications. Technologies such as SLA, FDM, SLS, DLP, and PolyJet enable the precise production of customized dental restorations, surgical guides, prosthetics, and teaching models, thereby enhancing efficiency and reducing turnaround times. The selection of materials, ranging from biocompatible polymers such as PLA, PMMA, and PEEK to high-strength metals like titanium and cobalt-chrome, and aesthetically superior ceramics like zirconia and glass ceramics, has dramatically broadened the applications of additive manufacturing in dentistry. These developments facilitate various applications in prosthodontics, orthodontics, implantology, maxillofacial surgery, and pediatric care. Notwithstanding its potential, specific issues must be addressed to promote wider implementation. This encompasses ensuring material biocompatibility, navigating regulatory difficulties, addressing substantial initial expenses, and bridging the digital skills gap among practitioners. Moreover, environmental sustainability is becoming increasingly significant, with a focus on the utilization of recycled resources, waste reduction, and circular economy techniques. Forthcoming technologies, including 4D printing, AI-based design optimization, virtual reality integration, and bioprinting of dental tissues, are set to transform dental treatment by improving personalization, functionality, and patient outcomes. These breakthroughs will necessitate interdisciplinary collaboration, clinical validation, and educational reform to incorporate AM seamlessly into dental practice. Additive manufacturing represents a transformative revolution in dentistry, enabling accurate, individualized, and restorative treatments. Its ongoing development is poised to transform oral health delivery, diminish healthcare disparities, and stimulate innovation throughout all areas of dentistry science. As additive manufacturing continues to evolve, it holds the promise not only to enhance clinical precision but also to democratize access to high-quality dental care worldwide.

Author Contributions

Conceptualization, S.M. and R.B.M.; methodology, S.M.; validation, All authors; formal analysis, S.M., D.P., M.A. and E.H.A.; investigation, S.M. and D.P.; resources, All authors; data curation, S.M., D.P. and E.H.A.; Writing—Original Draft Preparation, All authors; writing—review and editing, S.M., D.P., E.H.A. and R.B.M.; visualization, S.M.; supervision, R.B.M.; project administration, R.B.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AMAdditive Manufacturing
3DThree-Dimensional
4DFour-Dimensional
UVUltraviolet
SLAStereolithography
FDMFused Deposition Modeling
SLSSelective Laser Sintering
DLPDigital Light Processing
CADComputer-Aided Design
CAMComputer-Aided Manufacturing
PEEKPolyether Ether Ketone
PLAPolylactic Acid
PMMAPolymethyl Methacrylate
AIArtificial Intelligence
VRVirtual Reality
ARAugmented Reality
CBCTCone Beam Computed Tomography
FEAFinite Element Analysis
MLMachine Learning
RTILRoom Temperature Ionic Liquid
PPEPersonal Protective Equipment
hOBsHuman Oral Osteoblasts
ODOptical Density
SMPsShape-memory Polymers
pHPotential of Hydrogen
PGFAGutta-percha-filled area

References

  1. Olivo, E.A.C.O. 3D Printing in Dental Science. Rev. Estomatol. 2022, 30, e11947. [Google Scholar] [CrossRef]
  2. Dawood, A.; Marti, B.M.; Sauret-Jackson, V.; Darwood, A. 3D printing in dentistry. Br. Dent. J. 2015, 219, 521–529. [Google Scholar] [CrossRef]
  3. Chen, Y.; Wei, J. Application of 3D Printing Technology in Dentistry: A Review. Polymers 2025, 17, 886. [Google Scholar] [CrossRef] [PubMed]
  4. Habib, A.A.I.; Sheikh, N.A. 3D printing review in numerous applications for dentistry. J. Inst. Eng. Ser. C 2022, 103, 991–1000. [Google Scholar] [CrossRef]
  5. Rezaie, F.; Farshbaf, M.; Dahri, M.; Masjedi, M.; Maleki, R.; Amini, F.; Wirth, J.; Moharamzadeh, K.; Weber, F.E.; Tayebi, L. 3D printing of dental prostheses: Current and emerging applications. J. Compos. Sci. 2023, 7, 80. [Google Scholar] [CrossRef]
  6. Jeong, M.; Radomski, K.; Lopez, D.; Liu, J.T.; Lee, J.D.; Lee, S.J. Materials and applications of 3D printing technology in dentistry: An overview. Dent. J. 2023, 12, 1. [Google Scholar] [CrossRef]
  7. Lin, L.; Fang, Y.; Liao, Y.; Chen, G.; Gao, C.; Zhu, P. 3D printing and digital processing techniques in dentistry: A review of literature. Adv. Eng. Mater. 2019, 21, 1801013. [Google Scholar] [CrossRef]
  8. Cai, H.; Xu, X.; Lu, X.; Zhao, M.; Jia, Q.; Jiang, H.-B.; Kwon, J.-S. Dental materials applied to 3D and 4D printing technologies: A review. Polymers 2023, 15, 2405. [Google Scholar] [CrossRef]
  9. Gao, J.; Pan, Y.; Gao, Y.; Pang, H.; Sun, H.; Cheng, L.; Liu, J. Research progress on the preparation process and material structure of 3D-printed dental implants and their clinical applications. Coatings 2024, 14, 781. [Google Scholar] [CrossRef]
  10. Surmen, H.K.; Ortes, F.; Arslan, Y.Z. Fundamentals of 3D printing and its applications in biomedical engineering. In 3D Printing in Biomedical Engineering; Springer: Berlin/Heidelberg, Germany, 2020; pp. 23–41. [Google Scholar]
  11. Al-Kaabi, A.F. Surface evaluation of recycled nylon for FDM 3D printing for the purpose of dental prosthesis construction. Adv. Mater. Res. 2025, 14, 61. [Google Scholar]
  12. Juneja, M.; Bajaj, D.; Thakur, N.; Jindal, P. Reproduction of human dental models using different 3D printing techniques. Proc. Inst. Mech. Eng. Part E J. Process Mech. Eng. 2024, 239, 09544089241239591. [Google Scholar] [CrossRef]
  13. Shaikh, S.; Nahar, P.; Ali, H.M. Current perspectives of 3d printing in dental applications. Braz. Dent. Sci. 2021, 24, 1–9. [Google Scholar] [CrossRef]
  14. Ciocan, L.T.; Vasilescu, V.G.; Pantea, M.; Pițuru, S.M.; Imre, M.; Ripszky Totan, A.; Froimovici, F.O. The Evaluation of the trueness of dental mastercasts obtained through different 3D printing technologies. J. Funct. Biomater. 2024, 15, 210. [Google Scholar] [CrossRef]
  15. Bhatt, S.; Simre, S.S.; Patadiya, H.H.; Yadav, D.; Deepti, B.; Sathvi, S.S.; Manamasa, Y. 3D printing in dentistry: A review. J. Adv. Med. Dent. Sci. Res. 2025, 13, 11–15. [Google Scholar]
  16. Beuer, F.; Steff, B.; Naumann, M.; Sorensen, J.A. Load-bearing capacity of all-ceramic three-unit fixed partial dentures with different computer-aided design (CAD)/computer-aided manufacturing (CAM) fabricated framework materials. Eur. J. Oral Sci. 2008, 116, 381–386. [Google Scholar] [CrossRef] [PubMed]
  17. Wei, H.; Huang, S.; Liu, Y.; Li, D. Molding Quality and Biological Evaluation of a Two-Stage Titanium Alloy Dental Implant Based on Combined 3D Printing and Subtracting Manufacturing. ACS Omega 2024, 9, 51591–51603. [Google Scholar] [CrossRef]
  18. Anadioti, E.; Kane, B.; Soulas, E. Current and emerging applications of 3D printing in restorative dentistry. Curr. Oral Health Rep. 2018, 5, 133–139. [Google Scholar] [CrossRef]
  19. Nizam, M.; Purohit, R.; Taufik, M. Materials for 3D printing in healthcare sector: A review. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 2024, 238, 939–963. [Google Scholar] [CrossRef] [PubMed]
  20. Patel, D.; Shah, R.; Dalwadi, H. Application of Polymer and Biomaterials for 3d Printing Technology. Int. J. Appl. Eng. Res. 2022, 10, 2244–2250. [Google Scholar] [CrossRef]
  21. Rus, F.; Neculau, C.; Imre, M.; Duica, F.; Popa, A.; Moisa, R.M.; Voicu-Balasea, B.; Radulescu, R.; Ripszky, A.; Ene, R. Polymeric Materials Used in 3DP in Dentistry—Biocompatibility Testing Challenges. Polymers 2024, 16, 3550. [Google Scholar] [CrossRef]
  22. Elango, V.; Murugappan, M.; Vetrivel, K.; Yusuf, M.; Nikam, K. 3D Printing in the pharmaceutical industry: A special consideration on medical device and its applications. Int. J. Appl. Pharm. 2025, 17, 1–11. [Google Scholar] [CrossRef]
  23. Alghauli, M.A.; Aljohani, R.; Aljohani, W.; Almutairi, S.; Alqutaibi, A.Y. Evolution of Medical 3D Printing, Printable Biomaterials, Prosthetic and Regenerative Dental Applications. Bioprinting 2025, 46, e00395. [Google Scholar] [CrossRef]
  24. Diznab, F.A.; Oskouei, H.G.; Dehghan, F.; Dehghan, M.; Golrokhian, M.; Rafighi, A.; Shenasa, N. The Role of 3D Printing in Customizing Dental Prosthetics and Orthodontic Appliances. Galen Med. J. 2024, 13, e3719. [Google Scholar] [CrossRef]
  25. Sheoran, A.J.; Kumar, H.; Arora, P.K.; Moona, G. Bio-medical applications of additive manufacturing: A review. Procedia Manuf. 2020, 51, 663–670. [Google Scholar] [CrossRef]
  26. Groth, C.; Kravitz, N.D.; Jones, P.E.; Graham, J.W.; Redmond, W.R. Three-dimensional printing technology. J. Clin. Orthod. 2014, 48, 475–485. [Google Scholar]
  27. Ergül, T.; Güleç, A.; Göymen, M. The use of 3D printers in orthodontics-a narrative review. Turk. J. Orthod. 2023, 36, 134. [Google Scholar] [CrossRef]
  28. Dietrich, C.A.; Ender, A.; Baumgartner, S.; Mehl, A. A validation study of reconstructed rapid prototyping models produced by two technologies. Angle Orthod. 2017, 87, 782–787. [Google Scholar] [CrossRef] [PubMed]
  29. Koretsi, V.; Kirschbauer, C.; Proff, P.; Kirschneck, C. Reliability and intra-examiner agreement of orthodontic model analysis with a digital caliper on plaster and printed dental models. Clin. Oral Investig. 2019, 23, 3387–3396. [Google Scholar] [CrossRef] [PubMed]
  30. Brown, G.B.; Currier, G.F.; Kadioglu, O.; Kierl, J.P. Accuracy of 3-dimensional printed dental models reconstructed from digital intraoral impressions. Am. J. Orthod. Dentofac. Orthop. 2018, 154, 733–739. [Google Scholar] [CrossRef] [PubMed]
  31. Hazeveld, A.; Slater, J.J.H.; Ren, Y. Accuracy and reproducibility of dental replica models reconstructed by different rapid prototyping techniques. Am. J. Orthod. Dentofac. Orthop. 2014, 145, 108–115. [Google Scholar] [CrossRef]
  32. Ledingham, A.D.; English, J.D.; Akyalcin, S.; Cozad, B.E.; Ontiveros, J.C.; Kasper, F.K. Accuracy and mechanical properties of orthodontic models printed 3-dimensionally from calcium sulfate before and after various postprinting treatments. Am. J. Orthod. Dentofac. Orthop. 2016, 150, 1056–1062. [Google Scholar] [CrossRef] [PubMed]
  33. Fekonja, A.; Rošer, N.; Drstvenšek, I. Additive manufacturing in orthodontics. Mater. Tehnol. 2019, 53, 165–169. [Google Scholar]
  34. Tsolakis, I.A.; Gizani, S.; Panayi, N.; Antonopoulos, G.; Tsolakis, A.I. Three-dimensional printing technology in orthodontics for dental models: A systematic review. Children 2022, 9, 1106. [Google Scholar] [CrossRef]
  35. Aktaş, N.; Ciftci, V. Current applications of three-dimensional (3D) printing in pediatric dentistry: A literature review. J. Clin. Pediatr. Dent. 2024, 48, 4–13. [Google Scholar] [CrossRef]
  36. Davidovich, E.; Dagon, S.; Tamari, I.; Etinger, M.; Mijiritsky, E. An innovative treatment approach using digital workflow and CAD-CAM part 2: The restoration of molar incisor hypomineralization in children. Int. J. Environ. Res. Public Health 2020, 17, 1499. [Google Scholar]
  37. Xepapadeas, A.B.; Weise, C.; Frank, K.; Spintzyk, S.; Poets, C.; Wiechers, C.; Arand, J.; Koos, B. Technical note on introducing a digital workflow for newborns with craniofacial anomalies based on intraoral scans-part I: 3D printed and milled palatal stimulation plate for trisomy 21. BMC Oral Health 2020, 20, 20. [Google Scholar]
  38. Mamo, H.B.; Adamiak, M.; Kunwar, A. 3D printed biomedical devices and their applications: A review on state-of-the-art technologies, existing challenges, and future perspectives. J. Mech. Behav. Biomed. Mater. 2023, 143, 105930. [Google Scholar]
  39. Kafle, A.; Luis, E.; Silwal, R.; Pan, H.M.; Shrestha, P.L.; Bastola, A.K. 3D/4D printing of polymers: Fused deposition modelling (FDM), selective laser sintering (SLS), and stereolithography (SLA). Polymers 2021, 13, 3101. [Google Scholar] [CrossRef] [PubMed]
  40. Tabatabai, T.; Kjellberg, H. Effect of treatment with dental space maintainers after the early extraction of the second primary molar: A systematic review. Eur. J. Orthod. 2023, 45, 462–467. [Google Scholar] [CrossRef]
  41. Yelkenci, A.; Güven Polat, G.; Oncu, E.; Ciftci, F. AI-Powered Prediction of Dental Space Maintainer Needs Using X-Ray Imaging: A CNN-Based Approach for Pediatric Dentistry. Appl. Sci. 2025, 15, 3920. [Google Scholar] [CrossRef]
  42. Rodrigues, L.P.; Dourado, P.H.N.; de Araújo, C.A.R.; No-Cortes, J.; Pinhata-Baptista, O.H. Digital workflow to produce esthetic space maintainers for growing patients. J. Prosthet. Dent. 2024, 131, 800–803. [Google Scholar] [CrossRef]
  43. Tamburrino, F.; Chiocca, A.; Aruanno, B.; Paoli, A.; Lardani, L.; Carli, E.; Derchi, G.; Giuca, M.R.; Razionale, A.V.; Barone, S. A novel digitized method for the design and additive manufacturing of orthodontic space maintainers. Appl. Sci. 2023, 13, 8320. [Google Scholar] [CrossRef]
  44. Kasihani, N.N.; Rikawarastuti, R. Study of 3D printing model in dental health education preclinic practices: Narrative review. JDHT J. Dent. Hyg. Ther. 2023, 4, 88–96. [Google Scholar] [CrossRef]
  45. Bürklein, S.; Schäfer, E.; Donnermeyer, D. Evaluation of a 3D-Printed Model as Complete Case Scenario in Undergraduate Dental Education—Diagnosis, Treatment Planning and Clinical Practice. Eur. J. Dent. Educ. 2025, 29, 563–574. [Google Scholar] [CrossRef] [PubMed]
  46. Karagkounaki, A.; Manoukakis, T.; Margariti, I.; Pavlou, C.; Hadjichristou, C. 3D printing in dental education: A review of its use across disciplines. J. Dent. Educ. 2025, 89, 1479–1486. [Google Scholar] [PubMed]
  47. Sag, O.M.; Li, X.; Åman, B.; Thor, A.; Brantnell, A. Qualitative exploration of 3D printing in Swedish healthcare: Perceived effects and barriers. BMC Health Serv. Res. 2024, 24, 1455. [Google Scholar] [CrossRef]
  48. Li, H.; Chen, S.; Dissanayaka, W.L.; Wang, M. Gelatin Methacryloyl/Sodium Alginate/Cellulose Nanocrystal Inks and 3D Printing for Dental Tissue Engineering Applications. ACS Omega 2024, 9, 48361–48373. [Google Scholar] [CrossRef] [PubMed]
  49. Saleh, Y.; Piper, R.; Richard, M.; Jeyaretna, S.; Cosker, T. Designing a 3D printed model of the skull-base: A collaboration between clinicians and industry. J. Med. Educ. Curric. Dev. 2022, 9, 23821205221080703. [Google Scholar] [CrossRef]
  50. Narain, S. The Role of 3D Imaging in Endodontic Diagnosis and Treatment Planning: A Systematic Review. J. Dent. Care 2024, 1, 22–31. [Google Scholar]
  51. Huth, K.C.; Borkowski, L.; Liebermann, A.; Berlinghoff, F.; Hickel, R.; Schwendicke, F.; Reymus, M. Comparing accuracy in guided endodontics: Dynamic real-time navigation, static guides, and manual approaches for access cavity preparation–an in vitro study using 3D printed teeth. Clin. Oral Investig. 2024, 28, 212. [Google Scholar] [CrossRef]
  52. Zhang, C.; Zhao, X.; Chen, C.; Wang, J.; Gu, P.; Ma, J.; Wu, D.; Li, J. The accuracy of using guided endodontics in access cavity preparation and the temperature changes of root surface: An in vitro study. BMC Oral Health 2022, 22, 504. [Google Scholar] [CrossRef]
  53. Cunha, D.; Souza, N.; Moreira, M.; Rodrigues, N.; Silva, P.; Franca, C.; Horsophonphong, S.; Sercia, A.; Subbiah, R.; Tahayeri, A. 3D-printed microgels supplemented with dentin matrix molecules as a novel biomaterial for direct pulp capping. Clin. Oral Investig. 2023, 27, 1215–1225. [Google Scholar] [CrossRef] [PubMed]
  54. Pouhaër, M.; Picart, G.; Baya, D.; Michelutti, P.; Dautel, A.; Pérard, M.; Le Clerc, J. Design of 3D-printed macro-models for undergraduates’ preclinical practice of endodontic access cavities. Eur. J. Dent. Educ. 2022, 26, 347–353. [Google Scholar] [CrossRef]
  55. Ho, Y.-C.; Jiang, W.-R.; Romario, Y.S.; Bhat, C.; Ramezani, M.; Jiang, C.-P. Multi-resin 3D printing of radiopaque customized artificial tooth for revolutionizing preclinical training on root canal treatment. Ann. 3D Print. Med. 2025, 17, 100187. [Google Scholar] [CrossRef]
  56. Reymus, M.; Fotiadou, C.; Kessler, A.; Heck, K.; Hickel, R.; Diegritz, C. 3D printed replicas for endodontic education. Int. Endod. J. 2019, 52, 123–130. [Google Scholar]
  57. Vijayavenkataraman, S.; Vialli, N.; Fuh, J.Y.; Lu, W.F. Conductive collagen/polypyrrole-b-polycaprolactone hydrogel for bioprinting of neural tissue constructs. Int. J. Bioprint. 2019, 5, 229. [Google Scholar]
  58. Patil, S.R.; Karobari, M.I. Exploring Artificial Intelligence for Enhanced Endodontic Practice: Applications, Challenges, and Future Directions. Adv. Public Health 2024, 2024, 8075515. [Google Scholar] [CrossRef]
  59. Zhou, J.; See, C.W.; Sreenivasamurthy, S.; Zhu, D. Customized additive manufacturing in bone scaffolds—The gateway to precise bone defect treatment. Research 2023, 6, 0239. [Google Scholar] [CrossRef]
  60. Miljanovic, D. Design and Fabrication of Mandibular Implants using Additive Manufacturing Technologies. Ph.D. Thesis, Swinburne University of Technology, Melbourne, Australia, 2024. [Google Scholar]
  61. Francesco, M.; Di Fiore, A.; Gobbato, E.; Fioretti, A.; Zuccon, A.; Stellini, E. (Eds.) Comparison between sla and dlp printing materials in dentistry: A review. In Atti 27° Congresso Nazionale Collegio dei Docenti Universitari di Discipline Odontostomatologiche; Collegio dei Docenti Universitari di Discipline Odontostomatologiche (CDUO ETS): Rome, Italy, 2020. [Google Scholar]
  62. Tahmaseb, A.; Wu, V.; Wismeijer, D.; Coucke, W.; Evans, C. The accuracy of static computer-aided implant surgery: A systematic review and meta-analysis. Clin. Oral Implant. Res. 2018, 29, 416–435. [Google Scholar] [CrossRef] [PubMed]
  63. Iezzi, G.; Zavan, B.; Petrini, M.; Ferroni, L.; Pierfelice, T.V.; D’Amora, U.; Ronca, A.; D’Amico, E.; Mangano, C. 3D printed dental implants with a porous structure: The in vitro response of osteoblasts, fibroblasts, mesenchymal stem cells, and monocytes. J. Dent. 2024, 140, 104778. [Google Scholar] [CrossRef]
  64. Alghauli, M.A.; Almutairi, S.; Aljohani, R.; Aljohani, W.; Alqutaibi, A.Y. Advanced Subtractive Manufacturing, Micromilling, and Laser Micromachinery in Dentistry: Current Applications, Limitations, and Future Perspectives. Biomater. Connect. 2025, 2, 0013. [Google Scholar] [CrossRef]
  65. Namvar, A.; Lozanovski, B.; Downing, D.; Williamson, T.; Kastrati, E.; Shidid, D.; Hill, D.; Buehner, U.; Ryan, S.; Choong, P.F. Finite element analysis of patient-specific additive-manufactured implants. Front. Bioeng. Biotechnol. 2024, 12, 1386816. [Google Scholar]
  66. Alqutaibi, A.Y.; Alghauli, M.A.; Aljohani, M.H.A.; Zafar, M.S. Advanced additive manufacturing in implant dentistry: 3D printing technologies, printable materials, current applications and future requirements. Bioprinting 2024, 42, e00356. [Google Scholar] [CrossRef]
  67. Rues, S.; Zehender, N.; Zenthöfer, A.; Bömicke, W.; Herpel, C.; Ilani, A.; Erber, R.; Roser, C.; Lux, C.J.; Rammelsberg, P. Fit of anterior restorations made of 3D-printed and milled zirconia: An in-vitro study. J. Dent. 2023, 130, 104415. [Google Scholar] [CrossRef] [PubMed]
  68. Waghmare, G.; Waghmare, K.G.; Bagde, S.T.; Deshmukh, M.N. (Eds.) Designing Dental Implants: The Use of Finite Element Analysis, a Comprehensive Review. In International Conference on Futuristic Advancements in Materials, Manufacturing and Thermal Sciences; Springer: Berlin/Heidelberg, Germany, 2024. [Google Scholar]
  69. Farazin, A.; Darghiasi, S.F. Advancements in dental implant design: Addressing current challenges and exploring future opportunities. J. Aust. Ceram. Soc. 2025, 61, 1–15. [Google Scholar] [CrossRef]
  70. Rajaeirad, M.; Einafshar, M.M.; Karimpour, M.; Jamshidi, N. Patient-specific implant (PSI) design. Adv. Biomed. Compos. Mater. Des. Manuf. 2025, 22, 127. [Google Scholar]
  71. Jaber, M.A.; Jaber, A.M. Challenges and Opportunities of Digital Dentistry in Remote Environments. Transform. Dent. Health Rural. Communities Digit. Dent. 2025, 233–270. [Google Scholar]
  72. Hijazi, K.M.; Dixon, S.J.; Armstrong, J.E.; Rizkalla, A.S. Titanium alloy implants with lattice structures for mandibular reconstruction. Materials 2023, 17, 140. [Google Scholar] [CrossRef]
  73. Rachim, V.P.; Park, S.-M. Review of 3D-printing technologies for wearable and implantable bio-integrated sensors. Essays Biochem. 2021, 65, 491–502. [Google Scholar]
  74. Deng, Z.; Xiang, N.; Pan, J. State of the art in immersive interactive technologies for surgery simulation: A review and prospective. Bioengineering 2023, 10, 1346. [Google Scholar] [CrossRef]
  75. Ahmad, F.; Ahmad, W.; Xiong, J.; Xia, Z. AR and MR in Dentistry: Developments, Applications, and Prospects. IEEE Trans. Med. Robot. Bionics 2024, 7, 171–188. [Google Scholar] [CrossRef]
  76. Castro-Braga, M.; Domingos Dias, W.; Nogueira, R.F.; Abreu, L.G.; Huebner, R.; Serra-Negra, J.M. Advances of 3D printing in oral oncology: Personalized technologies for patients–a narrative review. J. Complex. Health Sci. 2024, 7, 66–75. [Google Scholar] [CrossRef]
  77. Bhattacharya, S.; Bhattacharya, N.; Bhattacharya, K. Role of 3D Printing in Surgery. Indian J. Surg. 2023, 85, 1319–1322. [Google Scholar] [CrossRef]
  78. Hellman, S.; Frisch, P.; Platzman, A.; Booth, P. 3D Printing in a hospital: Centralized clinical implementation and applications for comprehensive care. Digit. Health 2023, 9, 20552076231221899. [Google Scholar] [CrossRef] [PubMed]
  79. Scheidt, K.; Kropla, F.; Winkler, D.; Möbius, R.; Vychopen, M.; Wach, J.; Güresir, E.; Grunert, R. 3D-printed skull model for enhancing training in external ventricular drainage within medical education. 3D Print. Med. 2025, 11, 16. [Google Scholar] [CrossRef]
  80. Isha, S.N.; Ahmad, A.; Kabir, R.; Apu, E.H. Dental clinic architecture prevents COVID-19-like infectious diseases. HERD: Health Environ. Res. Des. J. 2020, 13, 240–241. [Google Scholar] [CrossRef]
  81. Cohen, J.; van der Meulen Rodgers, Y. Contributing factors to personal protective equipment shortages during the COVID-19 pandemic. Prev. Med. 2020, 141, 106263. [Google Scholar] [CrossRef] [PubMed]
  82. Arafat, S.Y.; Kar, S.K.; Marthoenis, M.; Sharma, P.; Apu, E.H.; Kabir, R. Psychological underpinning of panic buying during pandemic (COVID-19). Psychiatry Res. 2020, 289, 113061. [Google Scholar] [CrossRef] [PubMed]
  83. Ishack, S.; Lipner, S.R. Use of 3D printing to support COVID-19 medical supply shortages: A review. J. 3D Print. Med. 2021, 5, 83–95. [Google Scholar] [CrossRef]
  84. Tarfaoui, M.; Nachtane, M.; Goda, I.; Qureshi, Y.; Benyahia, H. 3D printing to support the shortage in personal protective equipment caused by COVID-19 pandemic. Materials 2020, 13, 3339. [Google Scholar] [CrossRef]
  85. Agarwal, R. The personal protective equipment fabricated via 3D printing technology during COVID-19. Ann. 3D Print. Med. 2022, 5, 100042. [Google Scholar] [CrossRef]
  86. Kumar Gupta, D.; Ali, M.H.; Ali, A.; Jain, P.; Anwer, M.K.; Iqbal, Z.; Mirza, M.A. 3D printing technology in healthcare: Applications, regulatory understanding, IP repository and clinical trial status. J. Drug Target. 2022, 30, 131–150. [Google Scholar] [CrossRef]
  87. Alghauli, M.A.; Almutairi, S.; Almuzaini, S.; Aljohani, R.; Aljohani, W.; Alqutaibi, A.Y. Properties and behavior of additively manufactured provisional fixed dental prostheses: A systematic review on 3D printing orientations relative to applied materials and postprocessing. J. Esthet. Restor. Dent. 2025, 37, 1407–1418. [Google Scholar] [CrossRef]
  88. Scoutaris, N.; Ross, S.; Douroumis, D. Current trends on medical and pharmaceutical applications of inkjet printing technology. Pharm. Res. 2016, 33, 1799–1816. [Google Scholar] [CrossRef]
  89. Ma, W.C.; Goh, G.L.; Priyadarshini, B.M.; Yeong, W.Y. 3D printing and 3D-printed electronics: Applications and future trends in smart drug delivery devices. Int. J. Bioprint. 2023, 9, 725. [Google Scholar] [CrossRef]
  90. Kotta, S.; Nair, A.; Alsabeelah, N. 3D printing technology in drug delivery: Recent progress and application. Curr. Pharm. Des. 2018, 24, 5039–5048. [Google Scholar]
  91. Trenfield, S.J.; Awad, A.; Madla, C.M.; Hatton, G.B.; Firth, J.; Goyanes, A.; Gaisford, S.; Basit, A.W. Shaping the future: Recent advances of 3D printing in drug delivery and healthcare. Expert Opin. Drug Deliv. 2019, 16, 1081–1094. [Google Scholar] [CrossRef]
  92. Hayashi, T.; Murase, N.; Sato, N.; Fujino, K.; Sugimura, N.; Wada, H.; Kuroda, K.; Shimojima, A. Fluoride ion-encapsulated germoxane cages modified with organosiloxane chains as anionic components of ionic liquids. Organometallics 2022, 41, 1454–1463. [Google Scholar] [CrossRef]
  93. Hossain, M.I.; Shams, A.B.; Das Gupta, S.; Blanchard, G.J.; Mobasheri, A.; Hoque Apu, E. The potential role of ionic liquid as a multifunctional dental biomaterial. Biomedicines 2023, 11, 3093. [Google Scholar] [CrossRef] [PubMed]
  94. Jaber, M.A.; Jaber, A.M. Advancing Dental Implantology through Finite Element Analysis: A Mini-Review. JSM Dent. 2025, 12. [Google Scholar]
  95. Di Francesco, P.; Bechir, A.; Popescu, A.I.; Chivu, M.V.; Dobrescu, A.M.; Comăneanu, R.M.; Târcolea, M. Finite element analysis (FEA) of the stress behavior of some dental materials. J. Med. Life 2025, 18, 29. [Google Scholar] [CrossRef]
  96. Paul, D.; Arwood, Z.; Mulon, P.-Y.; Penumadu, D.; Truster, T. Phase field modeling for fracture prediction in goat tibia using an open-source quantitative computer tomography based finite element framework. Biomed. Eng. Adv. 2025, 9, 100164. [Google Scholar] [CrossRef]
  97. Paul, D.; Arwood, Z.; Mulon, P.-Y.; Penumadu, D.; Truster, T. Method for computer tomography voxel-based finite element analysis and validation with digital image correlation system. MethodsX 2024, 13, 102879. [Google Scholar] [CrossRef]
  98. Akbas, O.; Greuling, A.; Stiesch, M. The effects of different grading approaches in additively manufactured dental implants on peri-implant bone stress: A finite element analysis. J. Mech. Behav. Biomed. Mater. 2024, 154, 106530. [Google Scholar] [CrossRef] [PubMed]
  99. Vautrin, A.; Aw, J.; Attenborough, E.; Varga, P. Fatigue life of 3D-printed porous titanium dental implants predicted by validated finite element simulations. Front. Bioeng. Biotechnol. 2023, 11, 1240125. [Google Scholar] [CrossRef] [PubMed]
  100. Liang, X.; Yu, B.; Dai, Y.; Wang, Y.; Hu, M.; Zhong, H.-J.; He, J. Three-Dimensional Printing Resin-Based Dental Provisional Crowns and Bridges: Recent Progress in Properties, Applications, and Perspectives. Materials 2025, 18, 2202. [Google Scholar]
  101. Carou-Senra, P.; Ong, J.J.; Castro, B.M.; Seoane-Viano, I.; Rodríguez-Pombo, L.; Cabalar, P.; Alvarez-Lorenzo, C.; Basit, A.W.; Pérez, G.; Goyanes, A. Predicting pharmaceutical inkjet printing outcomes using machine learning. Int. J. Pharm. X 2023, 5, 100181. [Google Scholar] [CrossRef]
  102. Kamali, A.H.; Moradi, M.; Goodarzian, F.; Ghasemi, P. A discrete event simulation method for performance analysis of an additive manufacturing in the dental clinic. Int. J. Adv. Manuf. Technol. 2022, 118, 2949–2979. [Google Scholar] [CrossRef]
  103. Husnain, A.; Saeed, A.; Ghazanfar, A. Innovations in dental technology: The synergy of 3D printing and artificial intelligence. Res. J. Comput. Sci. 2023. [Google Scholar]
  104. Peng, B.; Wei, Y.; Qin, Y.; Dai, J.; Li, Y.; Liu, A.; Tian, Y.; Han, L.; Zheng, Y.; Wen, P. Machine learning-enabled constrained multi-objective design of architected materials. Nat. Commun. 2023, 14, 6630. [Google Scholar] [CrossRef]
  105. Revilla-León, M.; Gómez-Polo, M.; Vyas, S.; Barmak, B.A.; Galluci, G.O.; Att, W.; Krishnamurthy, V.R. Artificial intelligence applications in implant dentistry: A systematic review. J. Prosthet. Dent. 2023, 129, 293–300. [Google Scholar] [CrossRef]
  106. Kim, Y.; Sobhani, S. Nonlinear light attenuation curing effects in vat photopolymerization. Addit. Manuf. 2025, 109, 104857. [Google Scholar] [CrossRef]
  107. Oliveira, J.P.; LaLonde, A.; Ma, J. Processing parameters in laser powder bed fusion metal additive manufacturing. Mater. Des. 2020, 193, 108762. [Google Scholar] [CrossRef]
  108. Zamanian, E. Strategies Dental Center Leaders Use to Improve Productivity Using Onsite 3D Printing. Ph.D. Thesis, Walden University, Minneapolis, MN, USA, 2023. [Google Scholar]
  109. Mansour, N.K.; Callera, A.; Potere, F.; Micalizzi, S.; Costantino, M.L.; De Gaetano, F.; Oliva, P. Circular economy and 3D printing in the healthcare sector. Front. Bioeng. Biotechnol. 2025, 13, 1548550. [Google Scholar] [CrossRef]
  110. Choonara, Y.E.; du Toit, L.C.; Kumar, P.; Kondiah, P.P.; Pillay, V. 3D-printing and the effect on medical costs: A new era? Expert Rev. Pharmacoecon. Outcomes Res. 2016, 16, 23–32. [Google Scholar] [CrossRef] [PubMed]
  111. Tripathi, N.; Misra, M.; Mohanty, A.K. Durable polylactic acid (PLA)-based sustainable engineered blends and biocomposites: Recent developments, challenges, and opportunities. ACS Eng. Au 2021, 1, 7–38. [Google Scholar] [CrossRef]
  112. Mou, L.; Li, J.; Lu, Y.; Li, G.; Li, J. Polylactic acid: A future universal biobased polymer with multifunctional performance—From monomer synthesis, and processing to applications: A review. J. Hazard. Mater. Adv. 2025, 18, 100757. [Google Scholar] [CrossRef]
  113. Trivedi, A.K.; Gupta, M.; Singh, H. PLA based biocomposites for sustainable products: A review. Adv. Ind. Eng. Polym. Res. 2023, 6, 382–395. [Google Scholar] [CrossRef]
  114. Wang, E.; Yang, F.; Shen, X.; Li, Z.; Yang, X.; Zhang, X.; Peng, W. Investigation and optimization of the impact of printing orientation on mechanical properties of resin sample in the low-force stereolithography additive manufacturing. Materials 2022, 15, 6743. [Google Scholar] [CrossRef]
  115. Fidan, I.; Naikwadi, V.; Alkunte, S.; Mishra, R.; Tantawi, K. Energy efficiency in additive manufacturing: Condensed review. Technologies 2024, 12, 21. [Google Scholar] [CrossRef]
  116. Caelli, C.; Tamburrino, F.; Brondi, C.; Razionale, A.V.; Ballarino, A.; Barone, S. Sustainability in healthcare sector: The dental aligners case. Sustainability 2023, 15, 16757. [Google Scholar] [CrossRef]
  117. Duane, B.; Steinbach, I.; Mackenzie, L. A carbon calculator: The development of a user-friendly greenhouse gas measuring tool for general dental practice (Part 2). Br. Dent. J. 2024, 236, 57–61. [Google Scholar] [CrossRef]
  118. Elwan, A.H.; Fouda, A.M. Carbon footprint of private dental laboratories in Egypt: A cross-sectional study. BDJ Open 2025, 11, 40. [Google Scholar] [CrossRef] [PubMed]
  119. Hegedus, T.; Kreuter, P.; Kismarczi-Antalffy, A.A.; Demeter, T.; Banyai, D.; Vegh, A.; Geczi, Z.; Hermann, P.; Payer, M.; Zsembery, A. User experience and sustainability of 3D printing in dentistry. Int. J. Environ. Res. Public Health 2022, 19, 1921. [Google Scholar] [CrossRef]
  120. Kechagias, J.D.; Zaoutsos, S.P. Optimising fused filament fabrication surface roughness for a dental implant. Mater. Manuf. Process. 2023, 38, 954–959. [Google Scholar] [CrossRef]
  121. Acharya, A.; Chodankar, R.N.; Patil, R.; Patil, A.G. Assessment of knowledge, awareness, and practices toward the use of 3D printing in dentistry among dental practitioners and dental technicians: A cross-sectional study. J. Oral Biol. Craniofacial Res. 2023, 13, 253–258. [Google Scholar] [CrossRef]
  122. Benfaida, S.; Boualam, A.; Lefdali, N.; Bennani, A. Development of a Teaching Tool in Dental Practical Training Using 3D Dental Printing. Eur. J. Dent. Oral Health 2025, 6, 29–33. [Google Scholar] [CrossRef]
  123. Liaw, C.-Y.; Guvendiren, M. Current and emerging applications of 3D printing in medicine. Biofabrication 2017, 9, 024102. [Google Scholar] [CrossRef]
  124. Nagarajan, N.; Dupret-Bories, A.; Karabulut, E.; Zorlutuna, P.; Vrana, N.E. Enabling personalized implant and controllable biosystem development through 3D printing. Biotechnol. Adv. 2018, 36, 521–533. [Google Scholar] [CrossRef] [PubMed]
  125. Fan, D.; Li, Y.; Wang, X.; Zhu, T.; Wang, Q.; Cai, H.; Li, W.; Tian, Y.; Liu, Z. Progressive 3D printing technology and its application in medical materials. Front. Pharmacol. 2020, 11, 122. [Google Scholar] [CrossRef]
  126. Jakus, A.E.; Rutz, A.L.; Shah, R.N. Advancing the field of 3D biomaterial printing. Biomed. Mater. 2016, 11, 014102. [Google Scholar] [CrossRef] [PubMed]
  127. Javaid, M.; Haleem, A.; Singh, R.P.; Suman, R. 3D printing applications for healthcare research and development. Glob. Health J. 2022, 6, 217–226. [Google Scholar] [CrossRef]
  128. Balhaddad, A.A.; Garcia, I.M.; Mokeem, L.; Alsahafi, R.; Majeed-Saidan, A.; Albagami, H.H.; Khan, A.S.; Ahmad, S.; Collares, F.M.; Della Bona, A. Three-dimensional (3D) printing in dental practice: Applications, areas of interest, and level of evidence. Clin. Clin. Clin. Oral Investig. 2023, 27, 2465–2481. [Google Scholar] [CrossRef] [PubMed]
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