Accuracy of artificial intelligence algorithms in predicting acute respiratory distress syndrome: a systematic review and meta-analysis.

Journal: BMC medical informatics and decision making
PMID: 39875868

Abstract

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, early and accurate diagnosis and treatment are crucial for patient survival. This meta-analysis evaluates the accuracy of artificial intelligence in the early diagnosis of ARDS and provides guidance for future research and applications.

Authors

  • Yaxin Xiong
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
  • Yuan Gao
    Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou Zhejiang Province, China.
  • Yucheng Qi
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
  • Yingfei Zhi
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
  • Jia Xu
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (Nanjing Tech), 30 South Puzhu Road, Nanjing, 211816, P.R. China.
  • Kuo Wang
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
  • Qiuyue Yang
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
  • Changsong Wang
    Department of Critical Care Medicine, the First Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China. changsongwangicu@163.com.
  • Mingyan Zhao
    Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518055, China.
  • Xianglin Meng
    Department of Critical Care Medicine, First Affiliated Hospital of Harbin Medical University, Heilongjiang, China. mengzi98@163.com.

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