Deep learning and machine learning in CT-based COPD diagnosis: Systematic review and meta-analysis.

Journal: International journal of medical informatics
PMID:

Abstract

BACKGROUND: With advancements in medical technology and science, chronic obstructive pulmonary disease (COPD), one of the world's three major chronic diseases, has seen numerous remarkable outcomes when combined with artificial intelligence, particularly in disease diagnosis. However, the diagnostic performance of these AI models still lacks comprehensive evidence. Therefore, this study quantitatively analyzed the diagnostic performance of AI models in CT images of COPD patients, aiming to promote the development of related research in the future.

Authors

  • Qian Wu
    China Electric Power Research Institute, Beijing, China.
  • Hui Guo
    Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada.
  • Ruihan Li
    School of Computer Science, Hubei University of Technology, Wuhan 430068, China.
  • Jinhuan Han
    Department of Medical Imaging Center, The Fourth Clinical Medical College of Xinjiang Medical University, Urumqi, Xinjian 830000, China.