This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Clinical Information and Decision Making (1407) Machine Learning (1465) Surgery, Trauma and Surgical Sciences (144) Artificial Intelligence (1371) Chatbots and Conversational Agents (531) Generative Language Models Including ChatGPT (311)

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

Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study

Authors of this article:

Aleksandar Ćirković1 Author Orcid Image ;   Toam Katz2 Author Orcid Image
Article Authors Cited by (4) Tweetations (9) Metrics

Journals

  1. 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
  2. Tailor P, D'Souza H, Li H, Starr M. Vision of the future: large language models in ophthalmology. Current Opinion in Ophthalmology 2024;35(5):391 View
  3. 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
  4. Yang Z, Wang D, Zhou F, Song D, Zhang Y, Jiang J, Kong K, Liu X, Qiao Y, Chang R, Han Y, Li F, Tham C, Zhang X. Understanding natural language: Potential application of large language models to ophthalmology. Asia-Pacific Journal of Ophthalmology 2024;13(4):100085 View