Evaluating ChatGPT’s Accuracy and Readability in Responding to Common Ophthalmology Questions
ChatGPT generally demonstrated appropriate responses to common ophthalmology questions, with high ratings for comprehensiveness, clarity, and support for medical professional follow-up. Performance did vary by conditions, with weaker appropriateness in responses related to glaucoma and cataract.
Authors
- A. Yong (ORCID: https://orcid.org/0000-0002-6268-4300)
- Sina Sobhani (ORCID: https://orcid.org/0000-0001-9089-4148)
- Shazia Sheikh
- T. Nguyen (ORCID: https://orcid.org/0000-0003-1351-840X)
- Marib Akanda
- Parsa Riazi Esfahani (ORCID: https://orcid.org/0000-0002-4874-6886)
- J.P. Ward
- Dalbert Chen (ORCID: https://orcid.org/0000-0002-6609-3102)
- Akshay Jakkidi Reddy
Institutions
- Loma Linda University Medical Center (US)
- Loma Linda University (US)
Publication Details
- Journal
- Cureus
- Published
- 2025-07-14
- DOI
- https://doi.org/10.7759/cureus.87920
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65