Artificial Intelligence in CT Angiography for the Detection of Coronary Artery Stenosis and Calcified Plaque: A Systematic Review and Meta-analysis.

Journal: Academic radiology
Published Date: Apr 14, 2025

Abstract

PURPOSE: We aimed to evaluate the diagnostic performance of artificial intelligence (AI) in detecting coronary artery stenosis and calcified plaque on CT angiography (CTA), comparing its diagnostic performance with that of radiologists.

Authors

  • Ming Du
    Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
  • Shuang He
    Department of Stroke Center, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
  • Jiaojiao Liu
    Internal Medicine, Dalian Medical University, Dalian, China (M.D., S.H., J.L.,); Department of Cardiology, People's Hospital of Liaoning Province, Shenyang, Liaoning, China (M.D., S.H., J.L., L.Y.).
  • Long Yuan
    Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second clinical school, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China. Electronic address: yuanl075@163.com.

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