Analyzing pediatric forearm X-rays for fracture analysis using machine learning
The results showed the feasibility of using machine learning models in predicting the appropriate treatment for forearm fractures in pediatric cases. With further improvement, the algorithm could potentially be used as a tool to assist non-specialized orthopedic providers in diagnosing and providing treatment.
Authors
- Kevin Cleary (ORCID: https://orcid.org/0000-0001-9809-4823)
- Sean Tabaie (ORCID: https://orcid.org/0000-0002-1584-2169)
- Sarah Dance (ORCID: https://orcid.org/0000-0001-6531-8077)
- Abhijeet Parida (ORCID: https://orcid.org/0000-0002-4978-0576)
- Van Lam
Institutions
- Nationwide Children's Hospital (US)
- Children's National (US)
- George Washington University (US)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1007/s11548-025-03485-z
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- National Institutes of Health
- National Institute of Arthritis and Musculoskeletal and Skin Diseases