Artificial Intelligence in the Diagnostics of Dental Diseases, 2nd Edition
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 89
Special Issue Editor
Interests: artificial intelligence; machine learning; clinical decision support systems; orthodontic diagnosis and treatment planning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
After a successful first edition of the Special Issue “Artificial Intelligence in the Diagnostics of Dental Disease” (https://www.mdpi.com/journal/diagnostics/special_issues/A727S78Y7L), we are pleased to announce a second edition.
Recent developments in artificial intelligence and machine learning have created infinite new opportunities for humanity in almost all aspects of life. However, the sudden surge in AI applications has created a cacophony of supporters and detractors, making it difficult to differentiate between the advantages and disadvantages of such systems, as well as their associated risks. Nevertheless, AI is here to stay, and it is up to scientists to determine the best practices for using it while minimizing risks. Therefore, in every discipline, those who have ethical responsibility should conduct high-quality scientific research.
AI has the potential to significantly improve the accuracy and speed of dental disease diagnosis, leading to earlier interventions and better outcomes for patients. Among many applications, AI can analyze images from dental scans, X-rays and other imaging techniques to identify signs of dental diseases, such as cavities, fractures or periodontal diseases. Moreover, AI can recognize patterns of dental diseases in large datasets, identifying commonalities between patients with similar dental conditions. AI can also analyze a patient's dental health history and use these data to predict their likelihood of developing certain dental conditions in the future. AI can provide decision support to dental professionals, offering recommendations for treatment plans based on patient data and best practices. I would like to take this opportunity to invite you to contribute to the growing field of AI in the diagnosis of dental diseases.
Dr. Hakan Turkkahraman
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Diagnostics 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 2600 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
- neural networks
- dental diseases
- clinical decision support systems
- medical diagnosis
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