Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis.

Journal: Lung cancer (Amsterdam, Netherlands)
PMID: 36566582

Abstract

BACKGROUND: Lung cancer is the principal cause of cancer-related deaths worldwide. Early detection of lung cancer with screening is indispensable to reduce the high morbidity and mortality rates. Artificial intelligence (AI) is widely utilised in healthcare, including in the assessment of medical images. A growing number of reviews studied the application of AI in lung cancer screening, but no overarching meta-analysis has examined the diagnostic test accuracy (DTA) of AI-based imaging for lung cancer screening.

Authors

  • Lay Teng Thong
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: e0324968@u.nus.edu.
  • Hui Shan Chou
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: e0325747@u.nus.edu.
  • Han Shi Jocelyn Chew
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore.
  • Ying Lau
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore. Electronic address: nurly@nus.edu.sg.

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