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

Foundations of AI (47) Artificial Intelligence (1421) 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
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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 2024 View