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- Title
Pacientul Virtual: O Aplicaţie Promiţătoare a Inteligenţei Artificiale în Domeniul Stomatologiei.
- Authors
Vatamanu, Oana Elena Burlacu; Drafta, Sergiu; Babiuc, Iuliana; David, Mihai; Cristache, Corina Marilena
- Abstract
Artificial intelligence (AI) technologies in dentistry aim to expand the diagnostic capabilities, to enhance the clinical and educational experience and to increase the safety and accuracy of clinical procedures. Virtual dental patient is an AI application where the superimposition of intraoral scan (IOS), cone-beam computed tomography (CBCT), and extraoral face scan (EOS) creates a more comprehensive digital representation of the head with focus on the oral and maxillofacial anatomy. The purpose of this bibliometric review is to summarise the present literature on AI in dentistry and on the virtual dental patient. Methods: The bibliometric analysis was performed using the Scopus database, where ("virtual dental patient" and "artificial intelligence") were used as keywords. The results of the search were exported and analysed using VOSviewer (version 1.6.19) software. Results: 38 publications (19 articles, 8 literature reviews, 3 book chapters, 5 conference presentations and 3 short communications) were identified using Scopus database, revealing a significant increase in the number of publications in 2022 and 2023. Discussion: The use of AI and virtual patient in dentistry offers a remarkable development in diagnosis, treatment planning, treatment simulation, dental education, decision making and predicting the treatment outcomes. Various areas of dentistry are impacted, such as orthodontics, periodontology, restorative dentistry, dental prosthetics, as well as oral and maxillo-facial surgery. Conclusion: AI technology and the virtual patient application have the potential to reform dental practice and training, providing an opportunity for more precise diagnosis, more accurate planning and predictable clinical treatment, following a patient-centered approach.
- Publication
dentalTarget, 2023, Vol 18, Issue 3/4, p43
- ISSN
1842-5054
- Publication type
Article