An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study.

Journal: BMC musculoskeletal disorders
PMID:

Abstract

BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU patients and presents significant challenges for patient care and resource allocation. Predicting prolonged dependence on mechanical ventilation is crucial for improving patient outcomes, preventing ventilator-associated complications, and guiding targeted clinical interventions. However, specific tools for predicting prolonged mechanical ventilation among ICU patients, particularly those with critical orthopaedic trauma, are currently lacking. The purpose of the study was to establish and validate an artificial intelligence (AI) platform to assess the prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma.

Authors

  • Weigang Jiang
    Department of Orthopedics, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou City, 215000, Jiang Su Province, People's Republic of China.
  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Baisheng Sun
    Department of Critical Care Medicine, The First Medical Centre of Chinese PLA General Hospital, Beijing, China.
  • Lixia Zhong
    Department of Intensive Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Zhencan Han
    Xiangya School of Medicine, Central South University, Changsha, China.
  • Minhua Lu
    Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China. Electronic address: luminhua@szu.edu.cn.
  • Mingxing Lei
    Department of Orthopedic Surgery, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital, Sanya, China.