ChatGPT-4 for addressing patient-centred frequently asked questions in age-related macular degeneration clinical practice
ChatGPT-4 responses to FAQs in AMD were generally agreeable in terms of coherency, factuality, comprehensiveness, and safety. However, areas of weakness were identified, precluding recommendations for routine use to provide patients with tailored counselling in AMD.
Authors
- Thomas Chan (ORCID: https://orcid.org/0000-0002-2218-0079)
- Michael Kalloniatis (ORCID: https://orcid.org/0000-0002-5264-4639)
- William B Yates (ORCID: https://orcid.org/0000-0002-9288-2930)
- Janelle Tong (ORCID: https://orcid.org/0000-0002-4268-5138)
- Thanh‐Trung Phan (ORCID: https://orcid.org/0000-0001-7299-0785)
- Amanda Ie
- Henrietta Wang (ORCID: https://orcid.org/0000-0002-6694-7622)
- Sophia Zhang (ORCID: https://orcid.org/0000-0002-8717-8084)
- Jack Phu (ORCID: https://orcid.org/0000-0002-9933-6780)
- Christopher D. Go (ORCID: https://orcid.org/0000-0003-0440-3897)
Institutions
- The University of Sydney (AU)
- Deakin University (AU)
- Concord Repatriation General Hospital (AU)
- Liverpool Hospital (AU)
- Children's Hospital at Westmead (AU)
- Westmead Hospital (AU)
- UNSW Sydney (AU)
- Vision Eye Institute (AU)
- University of Houston (US)
Publication Details
- Journal
- Eye
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1038/s41433-025-03788-0
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 3.93
Funders
- National Health and Medical Research Council