Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/51798, first published
.
![Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study](https://asset.jmir.pub/assets/6ddb2216fd9f7103b373ead77cfc30ef.png 480w,https://asset.jmir.pub/assets/6ddb2216fd9f7103b373ead77cfc30ef.png 960w,https://asset.jmir.pub/assets/6ddb2216fd9f7103b373ead77cfc30ef.png 1920w,https://asset.jmir.pub/assets/6ddb2216fd9f7103b373ead77cfc30ef.png 2500w)
Journals
- Biswas S, Davies L, Sheppard A, Logan N, Wolffsohn J. Utility of artificial intelligence‐based large language models in ophthalmic care. Ophthalmic and Physiological Optics 2024;44(3):641 View
- Tailor P, D'Souza H, Li H, Starr M. Vision of the future: large language models in ophthalmology. Current Opinion in Ophthalmology 2024 View
- Pressman S, Borna S, Gomez-Cabello C, Haider S, Haider C, Forte A. Clinical and Surgical Applications of Large Language Models: A Systematic Review. Journal of Clinical Medicine 2024;13(11):3041 View