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Artificial intelligence and machine learning for hemorrhagic trauma care
Artificial intelligence and machine learning for hemorrhagic trauma care
- “On January 23, 2024, a team of experts led by Henry T. Peng from the School of Defence Research and Development Canada published an article in the MMR, introduces its research progress in the field of AI application in traumatic hemorrhage care. Expert Peng reviewed 89 studies across five key areas including outcome prediction and hemorrhage detection, which provides solutions to advance ML-driven decision support for individualized trauma patient care.”
- Military Medical Research Vol. 10, Issue 5, Pages: 680-698(2023)
DOI: 10.1186/s40779-023-00444-0
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Related Author
Sankalp Tandle
Jared M. Wohlgemut
Max E. R. Marsden
Erhan Pisirir
Evangelia Kyrimi
Rebecca S. Stoner
William Marsh
Zane B. Perkins
Related Institution
Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London
The Royal London Hospital, Barts Health NHS Trust
Academic Department of Military Surgery and Trauma, Research and Clinical Innovation, The Royal Centre for Defence Medicine
Department of Electronic Engineering and Computer Science, Queen Mary University of London
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

