Large Language Models in Ophthalmology: A Review of Publications from Top Ophthalmology Journals
Purpose: To review and evaluate the current literature on the application and impact of large language models (LLMs) in the field of ophthalmology, focusing on studies published in high-ranking ophthalmology journals. Design: This is a retrospective review of published articles. Participants: This s...
Saved in:
| Main Authors: | Akshay Prashant Agnihotri, MS, DNB, Ines Doris Nagel, MD, Jose Carlo M. Artiaga, MD, FICO, Ma. Carmela B. Guevarra, MD, George Michael N. Sosuan, MD, Fritz Gerald P. Kalaw, MD |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Ophthalmology Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666914524002173 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Chat GPT 4o vs residents: French language evaluation in ophthalmology
by: Leah Attal, et al.
Published: (2025-04-01) -
Can Generative AI Contribute to Health Literacy? A Study in the Field of Ophthalmology
by: Carlos Ruiz-Núñez, et al.
Published: (2024-09-01) -
A reality check on chatbot-generated references in global health research
by: Amol S. Dhane, et al.
Published: (2024-06-01) -
Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions
by: Tomita K, et al.
Published: (2025-05-01) -
Evaluating ChatGPT-4 Plus in Ophthalmology: Effect of Image Recognition and Domain-Specific Pretraining on Diagnostic Performance
by: Kevin Y. Wu, et al.
Published: (2025-07-01)