Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review.

Journal: BMC medical informatics and decision making
PMID: 39948530

Abstract

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) represents a significant global health challenge, placing considerable burdens on healthcare systems. The rise of digital health technologies (DHTs) and artificial intelligence (AI) algorithms offers new opportunities to improve COPD predictive capabilities, diagnostic accuracy, and patient management. This systematic review explores the types of data in COPD under DHTs, the AI algorithms employed for data analysis, and identifies key application areas reported in the literature.

Authors

  • Zhenli Chen
    Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100020, PR China.
  • Jie Hao
  • Haixia Sun
    Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
  • Min Li
    Hubei Provincial Institute for Food Supervision and Test, Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test, Wuhan 430075, China.
  • Yuan Zhang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Qing Qian
    Nanjing Chervon Auto Precision Technology Co., Ltd, Nanjing 211106, China.

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