AI-Generated Text in Orthopaedic Articles
This study is clinically relevant because transparency in scientific writing supports accurate interpretation of the evidence used in patient care. Identifying the prevalence of AI-generated text helps to protect the integrity of the orthopaedic literature.
Authors
- Matthew Yuro (ORCID: https://orcid.org/0009-0005-7817-8559)
- Wayne Berberian (ORCID: https://orcid.org/0009-0008-1867-4245)
- Paul Sweeney (ORCID: https://orcid.org/0009-0002-7504-0253)
Institutions
- Hackensack University Medical Center (US)
- Center for Discovery (US)
Publication Details
- Journal
- Journal of Bone and Joint Surgery
- Published
- 2025-12-19
- DOI
- https://doi.org/10.2106/jbjs.25.00971
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00