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JIANG Jiaxin, HUANG Jian, LIU Xiaoyong. A practical discussion on AI-assisted mass casualty injury assessmentJ. Occupational Health and Emergency Rescue, 2025, 43(6): 795-798. DOI: 10.16369/j.oher.issn.1007-1326.2025.240773
Citation: JIANG Jiaxin, HUANG Jian, LIU Xiaoyong. A practical discussion on AI-assisted mass casualty injury assessmentJ. Occupational Health and Emergency Rescue, 2025, 43(6): 795-798. DOI: 10.16369/j.oher.issn.1007-1326.2025.240773

A practical discussion on AI-assisted mass casualty injury assessment

  • By introducing the fundamental principles of artificial intelligence (AI)-assisted triage in mass casualty incidents, as well as the practical applications of AI to help clinical diagnosis, prognosis prediction, optimized resource allocation, and intelligent physical task execution, this study discussed the role of AI technology in improving the accuracy, timeliness, and efficiency of injury assessment. It further discussed the challenges encountered in constructing the mass casualty database and developing the AI-based assessment model, with the aim to provide new perspectives and methodologies for the emergency response and medical treatment in mass casualty.
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