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

Foundations of AI (57) Artificial Intelligence (1996) Research Methodology - AI (27)

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 (8) Tweetations Metrics

Journals

  1. Dejour D, de Sanctis E, Müller J, Deroche E, Pineda T, Guarino A, Toanen C. Adapting the Dejour classification of trochlear dysplasia from qualitative radiograph‐ and CT‐based assessments to quantitative MRI‐based measurements. Knee Surgery, Sports Traumatology, Arthroscopy 2025;33(8):2833 View
  2. Collins C, Giammanco P, Trivedi S, Sarsour R, Kricfalusi M, Elsissy J. Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review. Journal of Imaging Informatics in Medicine 2025 View
  3. Dhumale A, Shinde S, Ambali M, Patil P. Integration of Artificial Intelligence for Diagnostic Methods in Musculoskeletal Conditions: A Systematic Review. Cureus 2025 View
  4. Mercurio M, Denami F, Melissaridou D, Corona K, Cerciello S, Laganà D, Gasparini G, Minici R. Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review. Diagnostics 2025;15(6):776 View
  5. Koucheki R, Lex J, Brock M, Goel D. Integrating Artificial Intelligence and Virtual Reality in Orthopedic Surgery: A Comprehensive Review. HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery 2025;21(3):289 View
  6. Gill S, Prashar A, Kamath A, Shinwari H, Sugand K, Gupte C. Artificial Intelligence in Anterior Cruciate Ligament Tear Diagnosis: A Bibliometric Analysis of the 50 Most Cited Studies. Indian Journal of Radiology and Imaging 2025 View
  7. Baghbani S, Mehrabi Y, Movahedinia M, Babaeinejad E, Joshaghanian M, Amiri S, Shahrezaee M. The revolutionary impact of artificial intelligence in orthopedics: comprehensive review of current benefits and challenges. Journal of Robotic Surgery 2025;19(1) View

Conference Proceedings

  1. Ishvarya M, Brintha N, Pavani K. 2025 International Conference on Computational Robotics, Testing and Engineering Evaluation (ICCRTEE). Enhanced Knee Ligament Tear Diagnosis: A GAN-Driven Comparative Study View