Retina Meets Artificial Intelligence
This article examines the role of ChatGPT, an advanced language learning model, in enhancing retinal care within ophthalmology. With its potential to improve clinical decision-making, patient education, and accessibility to care, ChatGPT is poised to address challenges in managing retinal diseases. ChatGPT provides accurate clinical recommendations and reliable patient information regarding common retinal conditions making it a valuable educational resource for medical professionals. However, concerns about comprehension levels and potential inaccuracies in responses persist, alongside ethical considerations. As artificial intelligence technology evolves, careful integration of ChatGPT in ophthalmology is essential to ensure patient safety and optimal outcomes in vision care.
Authors
- Samantha R. Goldburg
- Ronni M. Lieberman
- Daniel Zhu (ORCID: https://orcid.org/0000-0001-6569-9623)
- Paras P. Shah (ORCID: https://orcid.org/0000-0001-9071-8523)
- Margarita Labkovich (ORCID: https://orcid.org/0000-0001-9500-348X)
Institutions
- Mount Sinai Health System (US)
- Manhattan Eye, Ear and Throat Hospital (US)
Publication Details
- Journal
- Advances in Ophthalmology and Optometry
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1016/j.yaoo.2025.02.004
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00