Evaluating Artificial Intelligence-Based Writing Assistance Among Published Orthopaedic Studies
This study examined AI assistance in the writing of published orthopaedic manuscripts and provides the first evidence-based threshold for interpreting AI detection percentages. Our results revealed significant AI involvement in 16.7% of recently published orthopaedic literature. This finding highlights the importance of clear guidelines, ethical standards, responsible AI use, and improved detection tools to maintain the quality, authenticity, and integrity of orthopaedic research.
Authors
- Mohammad Daher (ORCID: https://orcid.org/0000-0002-9256-9952)
- Laurie Katz (ORCID: https://orcid.org/0000-0002-9589-286X)
- John Milner
- John Pietro
- Tucker C. Callanan (ORCID: https://orcid.org/0000-0002-1752-5108)
- Alan H. Daniels (ORCID: https://orcid.org/0000-0001-9597-4139)
- Phillip Schmitt
- Miaoyan Chen
- C. Pisani (ORCID: https://orcid.org/0009-0005-5130-9985)
- Jonathan Liu (ORCID: https://orcid.org/0000-0003-2572-5799)
- Josué Marquez
Institutions
- Brown University (US)
Publication Details
- Journal
- Journal of Bone and Joint Surgery
- Published
- 2025-05-30
- DOI
- https://doi.org/10.2106/jbjs.24.01462
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.27