Performance and reading time of lung nodule identification on multidetector CT with or without an artificial intelligence-powered computer-aided detection system.

Journal: Clinical radiology
Published Date: May 19, 2021

Abstract

AIM: To compare the performance and reading time of different readers using automatic artificial intelligence (AI)-powered computer-aided detection (CAD) to detect lung nodules in different reading modes.

Authors

  • H-H Hsu
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. Electronic address: hsianhe@yahoo.com.tw.
  • K-H Ko
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Y-C Chou
    School of Public Health, National Defense Medical Center, Taipei, Taiwan.
  • Y-C Wu
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • S-H Chiu
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • C-K Chang
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • W-C Chang
    Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.

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