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This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (2071) Electronic Health Records (1627) Imaging Informatics (432) Machine Learning (2976) Computer-Aided Diagnosis (400) Medical imaging (169)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68366, first published .
Doctor examines skin condition on smartphone, showing medical imaging

AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation

AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation

Authors of this article:

Md Masudur Rahman1 Author Orcid Image ;   Mohamed El Masry2, 3 Author Orcid Image ;   Surya C Gnyawali2, 3 Author Orcid Image ;   Yexiang Xue4 Author Orcid Image ;   Gayle Gordillo2, 5 Author Orcid Image ;   Juan P Wachs1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

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  3. Vaca B, Mayer H, Ciudad P. BURNS-PBIA (Burns Platform Based on Artificial Intelligence): A smartphone-based system for early burn depth assessment, TBSA estimation, and surgical decision prediction. European Journal of Plastic Surgery 2026;49(1) View