Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs-Reference-Cited by-同舟云学术

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Validation of artificial intelligence application for dental caries diagnosis on intraoral bitewing and periapical radiographs

Published:2024-08 Issue: Volume:147 Page:105105
ISSN:0300-5712
Container-title:Journal of Dentistry
language:en
Short-container-title:Journal of Dentistry

Author:

Szabó Viktor^ORCID,Szabó Bence Tamás^ORCID,Orhan Kaan,Veres Dániel Sándor,Manulis David^ORCID,Ezhov Matvey,Sanders Alex

Publisher

Elsevier BV

Reference51 articles.

1. Dental caries;Selwitz;Lancet,2007

2. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm;Lee;J. Dent.,2018

3. Global burden and inequality of dental caries;Wen;J. Dent. Res.,2022

4. Global epidemiology of dental caries and severe periodontitis – a comprehensive review;Frencken;J. Clin. Periodontol.,2017

5. Cost-effectiveness of artificial intelligence for proximal caries detection;Schwendicke;J. Dent. Res.,2021

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1. Endodontic Treatment Outcomes in Cone Beam Computed Tomography Images—Assessment of the Diagnostic Accuracy of AI;Journal of Clinical Medicine;2024-07-14

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