Oral and Maxillofacial Regeneration and Restoration

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Regenerative Engineering".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1685

Special Issue Editors


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Guest Editor
1. Department of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
2. Dental Artificial Intelligence and Robotics R&D Center, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
Interests: regeneration; implant; customized surgery; AI; maxillofacial; 3D printing
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Co-Guest Editor
1. Department of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
2. Dental Artificial Intelligence and Robotics R&D Center, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
Interests: orthognathic surgery; customize surgery; implant; CAD/CAM
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
1. Department of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
2. Dental Artificial Intelligence and Robotics R&D Center, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea
Interests: regeneration; reconstruction; malignancy; digital dentistry; AI

Special Issue Information

Dear Colleagues,

Advances in biomaterials, stem cell engineering, and digital technologies have revolutionized the field of oral and maxillofacial regeneration and restoration. This Special Issue aims to highlight recent developments in both basic and clinical research that enhance biological regeneration and functional reconstruction of oral and craniofacial tissues. We welcome studies on novel biomaterials, growth factors, and scaffold systems that promote osteogenesis and soft-tissue healing, as well as investigations into molecular and cellular mechanisms underlying regeneration. Clinical and translational research on bone and soft tissue augmentation, implant site development, and reconstructive surgery is equally encouraged. Furthermore, submissions exploring digital and robotic-assisted regenerative therapies, AI-driven treatment planning, and customized 3D-printed regenerative designs are of particular interest. By bridging basic science and clinical application, this Special Issue will provide a comprehensive platform for advancing evidence-based, personalized approaches to oral and maxillofacial regeneration and restoration.

Dr. Soo-Hwan Byun
Prof. Dr. Byoung-Eun Yang
Guest Editors

Dr. Sang-Yoon Park
Guest Editor Assistant

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Keywords

  • bone regeneration
  • tissue regeneration
  • digital dentistry
  • customized restoration
  • oral and maxillofacial reconstruction

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Published Papers (2 papers)

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Research

13 pages, 1424 KB  
Article
Feasibility of Artificial Intelligence-Processed Low-Dose Cone-Beam Computed Tomography in Dental Imaging
by Tae-Yoon Park, Seung-Eun Lee, Sang-Yoon Park, Sung-Woon On, Sang-Min Yi, Byoung-Eun Yang and Soo-Hwan Byun
Bioengineering 2026, 13(3), 304; https://doi.org/10.3390/bioengineering13030304 - 5 Mar 2026
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Abstract
Cone-beam computed tomography (CBCT) plays an important role in dental diagnosis; however, radiation exposure remains a concern. This study evaluated the feasibility of artificial intelligence (AI)-based image processing for improving image quality in low-dose CBCT. CBCT scans were acquired from a single healthy [...] Read more.
Cone-beam computed tomography (CBCT) plays an important role in dental diagnosis; however, radiation exposure remains a concern. This study evaluated the feasibility of artificial intelligence (AI)-based image processing for improving image quality in low-dose CBCT. CBCT scans were acquired from a single healthy adult male at three radiation dose levels (10%, 20%, and 100% of the standard dose), and each dataset was subsequently processed using an AI-based image enhancement model. Five dental specialists independently assessed image quality using a 6-point scoring system across 12 anatomical and diagnostic criteria, including anatomical visibility, structural delineation, and overall diagnostic acceptability. The AI-processed 20% dose images showed no statistically significant difference in image quality compared with the 100% raw dose images (median 4.45, range 3.50–5.30 vs. median 5.05, range 4.50–5.50; p > 0.05). In contrast, the AI-processed 10% dose images demonstrated significantly lower scores (p = 0.0074), and the AI-processed 100% dose images were rated lower than the corresponding raw images. These preliminary findings suggest that AI-assisted enhancement may partially mitigate image quality degradation associated with moderate CBCT dose reduction. Further large-scale studies involving diverse patient populations and clinical settings are required to validate these results. Full article
(This article belongs to the Special Issue Oral and Maxillofacial Regeneration and Restoration)
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14 pages, 2102 KB  
Article
Research to Improve Fixed Orthodontic Treatment of Thirty Six Angle Class II Severe Malocclusions with Premolar Extractions Using a Modified Orthodontic Scientific Simulator
by Radu Mircea Pisc, Anne-Marie Rauten, Mihai Raul Popescu, Mihaela Ionescu, Oana Gîngu, Stelian-Mihai-Sever Petrescu and Horia Octavian Manolea
Bioengineering 2026, 13(1), 41; https://doi.org/10.3390/bioengineering13010041 - 29 Dec 2025
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Abstract
This study aimed to evaluate the new orthodontic TiNb wires in direct comparison to the gold standard in orthodontics, NiTi wires, when treating. There is limited literature on patients with severe malocclusions being treated from start to end with TiNb, and TiNb wires [...] Read more.
This study aimed to evaluate the new orthodontic TiNb wires in direct comparison to the gold standard in orthodontics, NiTi wires, when treating. There is limited literature on patients with severe malocclusions being treated from start to end with TiNb, and TiNb wires were mostly used in the final stages of treatment. Our protocol consisted of three orthodontic wires: 0.016, 0.016 × 0.025, and 0.019 × 0.025 for levelling and aligning the stage and 0.019 × 0.025 stainless steel for the finishing stage, in order to treat the same case reproduced on a modified scientific simulator. The bracket system used was made by GC slot 0.22, TiNb wires made by Morita, and NiTi wires produced by GC. We ligated all brackets using SS wire ligatures 0.008, and for anchorage, we used a transpalatal arch. The temperature of the scientific simulator was set between 20 and 25 degrees Celsius. We have used upper arches and studied the repositioning of upper ectopic canines and space closure in order to obtain an equilibrated maxillary arch. After each change of orthodontic wires, we scanned the upper arch using Medit i600 (Medit, Seoul, Republic of Korea). After concluding all stages on all upper arches, we assessed the results using LITTLE’s Irregularity index and stereo microscopy to explain metal stress on NiTi and TiNb. We propose an optimized process for using TiNb and NiTi wires when treating class II severe malocclusions with premolar extractions. Thus, we observed permanent deformation for all 0.016 TiNb wires used in the first stage, so TiNb underperformed in comparison with NiTi. Also, the Little’s Irregularity Index was superior in the NiTi wires group on 0.016 wires, verifying the change of state in the TiNb wires group. Full article
(This article belongs to the Special Issue Oral and Maxillofacial Regeneration and Restoration)
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