Evaluation of a Decision Support System Developed with Deep Learning Approach for Detecting Dental Caries with Cone-Beam Computed Tomography Imaging

This study aims to investigate the effect of using an artificial intelligence (AI) system (Diagnocat, Inc., San Francisco, CA, USA) for caries detection by comparing cone-beam computed tomography (CBCT) evaluation results with and without the software. 500 CBCT volumes are scored by three dentomaxil...

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Detalles Bibliográficos
Autores principales: Amasya, Hakan, Alkhader, Mustafa, Serindere, Gözde, Futyma-Gąbka, Karolina, Aktuna Belgin, Ceren, Gusarev, Maxim, Ezhov, Matvey, Różyło-Kalinowska, Ingrid, Önder, Merve, Sanders, Alex, Costa, Andre Luiz Ferreira, de Castro Lopes, Sérgio Lúcio Pereira, Orhan, Kaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669958/
https://www.ncbi.nlm.nih.gov/pubmed/37998607
http://dx.doi.org/10.3390/diagnostics13223471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669958/
https://www.ncbi.nlm.nih.gov/pubmed/37998607
http://dx.doi.org/10.3390/diagnostics13223471

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