This paper is in the following e-collection/theme issue:

Foundations of AI (47) Artificial Intelligence (1556) Research Methodology - AI (14)

Published on in Vol 1, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37508, first published .
Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study

Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study

Artificial Intelligence–Assisted Diagnosis of Anterior Cruciate Ligament Tears From Magnetic Resonance Images: Algorithm Development and Validation Study

Authors of this article:

Kun-Hui Chen1, 2, 3 Author Orcid Image ;   Chih-Yu Yang1, 4 Author Orcid Image ;   Hsin-Yi Wang2, 5 Author Orcid Image ;   Hsiao-Li Ma2, 3 Author Orcid Image ;   Oscar Kuang-Sheng Lee1, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Kun-Hui Chen   1, 2, 3 , MD ;   Chih-Yu Yang   1, 4 , MD, PhD ;   Hsin-Yi Wang   2, 5 , MD ;   Hsiao-Li Ma   2, 3 , MD ;   Oscar Kuang-Sheng Lee   1, 6 , MD, PhD

1 Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan

2 Department of Surgery, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan

3 Department of Orthopedics and Traumatology, Taipei Veterans General Hospital, Taipei, Taiwan

4 Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

5 Department of Anaesthesiology, Taipei Veterans General Hospital, Taipei, Taiwan

6 China Medical University Hospital, Taichung, Taiwan

Corresponding Author:

  • Oscar Kuang-Sheng Lee, MD, PhD
  • Institute of Clinical Medicine
  • National Yang Ming Chiao Tung University
  • No 155, Sec 2, Linong Street
  • Taipei, 11221
  • Taiwan
  • Phone: 886 2-28757391
  • Email: oscarlee9203@gmail.com