Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

Journal: Journal of medical Internet research
PMID: 39869890

Abstract

BACKGROUND: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.

Authors

  • Weiqi Liu
    Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
  • You Wu
    Tsinghua University School of Medicine, Beijing, China.
  • Zhuozhao Zheng
    Department of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Mark Bittle
    Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
  • Wei Yu
    Quality Control Department, Jiangxi Provincial Blood Center Nanchang 330052, Jiangxi, China.
  • Hadi Kharrazi
    Johns Hopkins Bloomberg School of Public Health, Center for Population Health Information Technology, Baltimore, United States.

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