Clinically applicable artificial intelligence system for dental diagnosis with CBCT

In this study, a novel AI system based on deep learning methods was evaluated to determine its real-time performance of CBCT imaging diagnosis of anatomical landmarks, pathologies, clinical effectiveness, and safety when used by dentists in a clinical setting. The system consists of 5 modules: ROI-l...

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Detalles Bibliográficos
Autores principales: Ezhov, Matvey, Gusarev, Maxim, Golitsyna, Maria, Yates, Julian M., Kushnerev, Evgeny, Tamimi, Dania, Aksoy, Secil, Shumilov, Eugene, Sanders, Alex, Orhan, Kaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298426/
https://www.ncbi.nlm.nih.gov/pubmed/34294759
http://dx.doi.org/10.1038/s41598-021-94093-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8298426/
https://www.ncbi.nlm.nih.gov/pubmed/34294759
http://dx.doi.org/10.1038/s41598-021-94093-9

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