ChatGPT-4 Effectively Responds to Common Patient Questions on Total Ankle Arthroplasty: A Surgeon-Based Assessment of AI in Patient Education.
ChatGPT-4 demonstrates its potential to reliably provide discrete information for uncommon procedures such as TAA, but it lacks the capability to effectively respond to questions requiring patient- or surgeon-specific insight. This limitation, paired with the growing reliance on AI, highlights the need for AI tools tailored to specific clinical practices to enhance accuracy and relevance in patient education.
Authors
- Justin Kung (ORCID: https://orcid.org/0000-0003-2536-5076)
- Joseph S. Park
- J. Benjamin Jackson (ORCID: https://orcid.org/0000-0002-9444-087X)
- Chase Gauthier (ORCID: https://orcid.org/0009-0004-4738-8468)
- Nicholas L. Strasser (ORCID: https://orcid.org/0000-0002-3454-2049)
- Tyler Gonzalez (ORCID: https://orcid.org/0000-0002-3210-8097)
- H. L. Davis (ORCID: https://orcid.org/0009-0009-6141-8957)
- Heidi Ventresca (ORCID: https://orcid.org/0009-0003-1980-7621)
Institutions
- University of Virginia (US)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/24730114251322784
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65