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

Decision Support for Health Professionals (1663) Electronic Health Records (1399) Imaging Informatics (348) Machine Learning (2273) Computer-Aided Diagnosis (281) Medical imaging (142)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68366, first published .
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

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 (2) Tweetations (1) Metrics

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  1. Obaidi N, Agee O, Yau I, Moritz R, Nuutila K. Frostbite: diagnosis, treatment, prognosis, and future directions. Military Medical Research 2026;13(1):100007 View
  2. Wang H, Zeng S, Li W, Chen X, Mei Q, Chen H, Fu L, Zhao Z, Tang S, Zheng K, Liang Y, Xiong Z. Interactive AI assisted pediatric burn assessment based on smartphone images. Scientific Reports 2026 View