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Non-randomized Protocols and Methods (ehealth) (721) Dental Sciences (190) Public (e)Health, Digital Epidemiology and Public Health Informatics (1096) Clinical Information and Decision Making (2068) Imaging Informatics (329) Prevention and Health Promotion (1469) Innovative Methods in Public Health and Surveillance (401) mHealth in a Clinical Setting (773) Machine Learning (2228)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91239, first published .
Mobile Imaging–Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study

Mobile Imaging–Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study

Mobile Imaging–Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study

Authors of this article:

Sang Mok Park1 Author Orcid Image ;   Semin Kwon1 Author Orcid Image ;   Shaun G Hong1 Author Orcid Image ;   Yuhyun Ji1 Author Orcid Image ;   Sreeram P Nagappa1 Author Orcid Image ;   Jung Woo Leem1 Author Orcid Image ;   Mei Lin2 Author Orcid Image ;   Eugenio D Beltrán-Aguilar3, 4 Author Orcid Image ;   Susan O Griffin5 Author Orcid Image ;   Young L Kim1, 6, 7 Author Orcid Image
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