Machine and deep learning models for ligament injury recognition: a systematic review and meta-analysis of imaging and novel diagnostic techniques
ML and DL models demonstrate high diagnostic accuracy in detecting ligament injuries. Their strong performance supports ongoing integration into clinical practice, offering valuable support for musculoskeletal specialists in image interpretation and diagnosis.
Authors
- Felipe Feijoo
- Carlos Jorquera
- Joaquín Villagrán
- Emilia Varas
Institutions
- Universidad Mayor (CL)
- Pontificia Universidad Católica de Valparaíso (CL)
- Universidad de Los Andes, Chile (CL)
- Clínica MEDS (Chile) (CL)
Publication Details
- Journal
- EFORT Open Reviews
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1530/eor-2025-0038
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00