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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Retina Meets Artificial Intelligence

Samantha R. Goldburg, Ronni M. Lieberman, Daniel Zhu, Paras P. Shah et al.
Advances in Ophthalmology and Optometry
Retinal Imaging and Analysis
article

Retina Meets Artificial Intelligence

Samantha R. Goldburg, Ronni M. Lieberman, Daniel Zhu, Paras P. Shah, Margarita Labkovich
article en

Abstract

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.

Advances in Ophthalmology and OptometryVol. 10(1)
Mount Sinai Health System (US), Manhattan Eye, Ear and Throat Hospital (US)
Openalex Percentile: Top 88%
Retinal Imaging and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.