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Non-randomized Protocols and Methods (ehealth) (1128) Clinical Information and Decision Making (3905) Public (e)Health, Digital Epidemiology and Public Health Informatics (2394) mHealth in a Clinical Setting (1220) Dental Sciences (240) Prevention and Health Promotion (2312) Imaging Informatics (511) Machine Learning (3350) Innovative Methods in Public Health and Surveillance (529)

Published on in Vol 15 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91239, first published .
Dentist showing phone screen with teeth close-up to patient

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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Journals

  1. Vera-González V, López-González C, Pedrera-Canal M, Hernando-Dumaraog B, Elsayed Y, Vera-Rodríguez V, Besada-Portas E, Pajares G. DentSeg3: A Three-Branch Specialized Fusion Network for Dental Lesion Segmentation in Color Images. Journal of Imaging Informatics in Medicine 2026 View