Artificial Intelligence Large Language Models Improve Patient Comprehension of Radiologist Magnetic Resonance Imaging Reports
AI-translated MRI reports have the potential to enhance patient understanding of radiologic findings in orthopaedic care. However, given the low level of trust in AI-generated content observed in this study, physician oversight remains essential to ensure accuracy and sustain patient confidence.
Authors
- Griffith G. Gosnell (ORCID: https://orcid.org/0009-0000-1072-1774)
- Emily Berzolla (ORCID: https://orcid.org/0009-0002-4631-4737)
- Robert J. Meislin (ORCID: https://orcid.org/0000-0001-6572-186X)
- Larry Chen (ORCID: https://orcid.org/0000-0001-8358-8521)
- Erin F. Alaia (ORCID: https://orcid.org/0000-0002-7306-3374)
- Caroline Vonck
Institutions
- New York University Langone Orthopedic Hospital (US)
Publication Details
- Journal
- Arthroscopy The Journal of Arthroscopic and Related Surgery
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.arthro.2025.04.033
- Citations
- 3
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 4.08