Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

Journal: International journal of surgery (London, England)
Published Date: Jan 1, 2025

Abstract

BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early detection and treatment are crucial for improving outcomes and reducing mortality rates. Nonetheless, clinical tools for predicting sepsis among patients with major trauma are limited. This study aimed to develop and validate an artificial intelligence (AI) platform for predicting the risk of sepsis among patients with major trauma.

Authors

  • Baisheng Sun
    Department of Critical Care Medicine, The First Medical Centre of Chinese PLA General Hospital, Beijing, China.
  • Mingxing Lei
    Department of Orthopedic Surgery, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital, Sanya, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Xiaoli Wang
    Demonstration Center of Future Product, Beijing Aircraft Technology Research Institute, COMAC, Beijing, China.
  • Xiaoming Li
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.
  • Zhi Mao
    Xi'an Technological University, Xi'an, China.
  • Hongjun Kang
    Department of Critical Care Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, China.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Shiying Sun
    School of Basic Medical Sciences, Fujian Medical University, Fuzhou, 350122, China.
  • Feihu Zhou
    Department of Critical Care Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, China.

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