Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.

Journal: JACC. Cardiovascular imaging
Published Date:

Abstract

OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardiographic image quality objectively.

Authors

  • Kuan-Chih Huang
    Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Heart Center, Cheng-Hsin General Hospital, Taipei, Taiwan.
  • Chiun-Sheng Huang
    Department of Surgery, National Taiwan University Hospital, Taipei 10617, Taiwan.
  • Mao-Yuan Su
    Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan.
  • Chung-Lieh Hung
    Division of Cardiology, Department of Internal Medicine, MacKay Memorial Hospital, Taipei, Taiwan.
  • Yi-Chin Ethan Tu
    Taiwan AI Labs, Taipei, Taiwan.
  • Lung-Chun Lin
    Section of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. Electronic address: anniejou@ms28.hinet.net.
  • Juey-Jen Hwang
    Section of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Section of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Yun-Lin Branch, Yun-Lin, Taiwan.