Use of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system
AI systems, such as CNNs, can enhance clinicians' ability to identify and classify elbow fractures, offering a complementary tool to improve diagnostic accuracy and optimize treatment decisions. The findings suggest AI can reduce the risk of undiagnosed fractures, enhancing clinical outcomes and radiologic evaluation.
Authors
- Ali Sharif Razavian
- Hans Nåsell
- Michael Axenhus (ORCID: https://orcid.org/0000-0002-2476-4465)
- Agneta Pettersson (ORCID: https://orcid.org/0000-0002-5785-3069)
- Max Gordon (ORCID: https://orcid.org/0000-0002-8080-5815)
- Oscar Ljungberg
- Teo Stukan
Institutions
- Danderyds sjukhus (SE)
- Karolinska Institutet (SE)
- Glanrhyd Hospital (GB)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1186/s12891-025-09161-2
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Karolinska Institutet
- Stockholms Läns Landsting