Digital Dental Technology in Orthodontics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Dentistry and Oral Sciences".
Deadline for manuscript submissions: closed (20 November 2025) | Viewed by 1660
Special Issue Editor
Interests: digital dentistry; imaging; orthodontics; TMJ disorders; oral pathology; oral cancer; orofacial pain; craniofacial growth; oral health; general health; quality of life
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The landscape of modern dentistry is undergoing a profound transformation, driven by rapid advancements in digital technologies and intelligent systems. Among these, artificial intelligence (AI) and machine learning (ML) play a pivotal role in redefining diagnostic accuracy, clinical decision-making, treatment personalization, and workflow optimization.
From automating the analysis of complex radiographic data to predicting treatment outcomes based on large-scale clinical datasets, AI-powered tools have the potential to enable a more precise, efficient, and patient-centered approach to oral healthcare.
This Special Issue aims to gather high-quality contributions that explore the development, validation, and clinical integration of AI and ML, and related digital innovations in all fields of dentistry. We welcome original research articles, reviews and case reports that highlight innovative applications and address current challenges and limitations in the field. Contributions that bridge the gap between computational sciences and dental clinical practice are of higher priority. Topics of interest include, but are not limited to the following:
- Deep learning and computer vision for dental imaging diagnostics
- AI-driven predictive models for disease progression and treatment outcomes
- Automated cephalometric analysis, segmentation, and landmark detection
- Decision support systems in orthodontics, implantology, endodontics, and prosthodontics
- Integration of AI in digital workflows: from intraoral scanning to CAD-CAM design
- Natural language processing in dentistry
- Clinical validation, reproducibility, and interpretability of AI models in dentistry
- Ethical, legal, and regulatory considerations in the deployment of AI technologies in oral healthcare
- Integration of AI in tele-dentistry and patient monitoring systems
Prof. Dr. Rosalia Maria Leonardi
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- digital dentistry innovation
- computer-aided diagnosis
- digital clinical workflow
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
