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

Decision Support for Health Professionals (2347) Electronic Health Records (1790) Imaging Informatics (506) Machine Learning (3336) Computer-Aided Diagnosis (440) Medical imaging (202)

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 (8) 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
  4. Ahn J, Ahn J, Herron J. Artificial intelligence for outcome prediction in burn care: A scoping review. Burns 2026;52(8):108121 View
  5. Khorsandi J, Ahmed A, Mirharooni J, Kahen M, Ahdout J, Franzoni D, MacDavid J. Artificial Intelligence and Algorithmic Bias in Burn Care: A Literature Review of Ethical Challenges. Journal of Burn Care & Research 2026;47(5):1380 View
  6. Güler I, Kraus A, Grieb G, Stelling H. Burn Extent and Fitzpatrick Skin Tone Assessment from Clinical Photographs: Systematic and Random Error in Multimodal Large Language Models. Bioengineering 2026;13(9):1000 View
  7. Güler I, Kraus A, Grieb G, Stelling H. AI-Based Spatial Burn Assessment with MLLMs: Body Region, 3 × 3 Grid Classification and Burn Instance Counting from Photographs and Semantic Segmentation Masks. Biomedicines 2026;14(9):1996 View

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