Intelligence artificielle dans le diagnostic orthodontique : une revue systématique

Diplôme Master Intelligence artificielle dans le diagnostic orthodontique : une revue systématique eng 2024-12-19 author Martins Ferreira Jost Rita Isabel 937455 director Mavropoulos Anestis 544068 10 Artificial Intelligence (AI) has shown significant potential in enhancing healthcare diagnostics. This systematic review aims to present and synthesize current evidence on AI applications in orthodontic diagnostics, analyzing their accuracy, efficiency, and possible clinical impact. A comprehensive search was conducted in PubMed, Web of Science and Cochrane Library for studies published between 2014 and 2024. Of 1,024 initially identified articles, 37 met the inclusion criteria. Main orthodontic applications were cephalometric analysis, tooth segmentation, and malocclusion classification. AI demonstrated high accuracy across applications and significant time savings compared to traditional methods. Future research should focus on prospective clinical trials and the development of standardized guidelines for AI implementation in orthodontic practice. Artificial Intelligence Machine Learning Orthodontics Diagnostics Systematic Review Dewey 617.6 Maîtrise de fin d’études prégraduées universitaires en médecine dentaire 209 Division d'orthodontie 24Q1 false ef717691-b318-45ad-8716-6b7799e983df Master thesis Restricted Intelligence_artificielle_dans_le_d.pdf 170586 application/pdf 7735a0ed54d3b533ef00792d8c7e53cef1dfbf4a34b7f4986fc48ec1a4a5b1a4 restrictedAccess Faculté de médecine / Section de médecine dentaire / Département de réhabilitation oro-faciale / Division d'orthodontie

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Martins Ferreira Jost, Rita Isabel