Effect of artificial intelligence in extracorporeal membrane oxygenation: a systematic review and meta-analysis.

Journal: Intensive & critical care nursing
Published Date:

Abstract

OBJECTIVES: To evaluate the effectiveness of Artificial Intelligence (AI) in improving clinical outcomes in Extracorporeal Membrane Oxygenation (ECMO) management, focusing on ECMO initiation, prognosis, and complications.

Authors

  • Shanshan Chen
    School of Life Sciences, Jilin University, Changchun, China.
  • Lingjuan Liu
    Department of Cardiology, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders (Chongqing), China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing 400014, People's Republic of China; Chongqing Key Laboratory of Pediatrics, Children's Hospital of Chongqing Medical University, Chongqing 400014, People's Republic of China.
  • Dingji Hu
    Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Trauma Center, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009 Jiangsu, People's Republic of China.
  • Yike Zhu
    Cardiovascular Research Institute, National University Health System, Singapore.
  • Changde Wu
    School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. njwu163@163.com.
  • Haoya Fu
    Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Trauma Center, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009 Jiangsu, People's Republic of China.
  • Jing Wu
    School of Pharmaceutical Science, Jiangnan University, Wuxi, 214122, Jiangsu, China.
  • Kexin Zhang
    Centre for Automation and Robotics (CAR) UPM-CSIC, Universidad Politécnica de Madrid (UPM), 28006 Madrid, Spain.
  • Maoxiao Chang
    Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Trauma Center, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009 Jiangsu, People's Republic of China.
  • Tong Hao
  • Wan Wang
    Department of Gastroenterology and Hepatology Musashino Red Cross Hospital Tokyo Japan.
  • Songqiao Liu
    School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, China. liusongqiao@ymail.com.

Keywords

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