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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84804, first published .
Man lying in MRI scanner for medical imaging and diagnosis

AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study

AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study

Kun-Hui Chen   1, 2, 3 , MD ;   Jacky Chung-Hao Wu   4, 5, 6 , PhD ;   Hsin-Yu Chang   6 ;   En-Rung Chiang   2, 3 , MD, PhD ;   Hsuan-Hsiao Ma   2, 3 , MD ;   Hsin-Yi Wang   3, 7 , MD, PhD ;   Henry Horng-Shing Lu   5, 6, 8, 9 * , PhD ;   Chih-Yu Yang   1, 10, 11, 12 * , MD, PhD

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

2 Department of Orthopaedics and Traumatology, Taipei Veterans General Hospital, Taipei, Taiwan

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

4 Center for Fundamental Science, Kaohsiung Medical University, Kaohsiung, Taiwan

5 Biomedical Artificial Intelligence Academy, Kaohsiung Medical University, Kaohsiung, Taiwan

6 Institute of Statistics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

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

8 Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

9 Department of Statistics and Data Science, Cornell University, Ithaca, NY, United States

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

11 Center for Intelligent Drug Systems and Smart Bio-devices, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

12 Stem Cell Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan

*these authors contributed equally

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