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Cited article:

“Variation in Standards for Reporting Artificial Intelligence Research using Burn Image Datasets raises Ethical Questions: A Scoping Review”

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https://doi.org/10.1016/j.burns.2026.108020

Comparing YOLO and U-net deep learning algorithms in chronic wound image segmentation

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BMC Medical Imaging 26 (1) (2026)
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Comparing Artificial Intelligence Guided Image Assessment to Current Methods of Burn Assessment

Justin J Lee, Mahla Abdolahnejad, Alexander Morzycki, Tara Freeman, Hannah Chan, Collin Hong, Rakesh Joshi and Joshua N Wong
Journal of Burn Care & Research 46 (1) 6 (2025)
https://doi.org/10.1093/jbcr/irae121

Integrating multi-source data for skin burn classification using deep learning

Ahmed Elsarta, Habiba Fathalla, Marina Nasser, Sara Elwatany, Rawan Fekry, Mohamed Ebaid, Yomna Mahmoud, Ayman Anwar and Amira Gaber
Computers in Biology and Medicine 195 110556 (2025)
https://doi.org/10.1016/j.compbiomed.2025.110556

YOLOv7-PSA, an intelligent detection model, is designed for assessing the severity of skin burns

Yuhong Luo, Kecheng Zhang, Rui Wang, Lei Yi and Zengding Zhou
Regenesis Repair Rehabilitation 1 (2) 80 (2025)
https://doi.org/10.1016/j.rerere.2025.03.002