Utilizing ChatGPT-3.5 to Assist Ophthalmologists in Clinical Decision-making

These results demonstrate that ChatGPT-3.5 may help assist clinicians in suggesting possible diagnoses based on varying complex clinical information. However, its accuracy is limited, and it cannot be utilized as a replacement for clinical decision-making.

Authors

Institutions

Publication Details

Journal
Journal of Ophthalmic and Vision Research
Published
2025-05-05
DOI
https://doi.org/10.18502/jovr.v20.14692
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing ChatGPT-3.5 to Assist Ophthalmologists in Clinical Decision-making

Md Ibrahim Tahashilder, Rodney Guiseppi, Natalia Penaloza, Anthony K.C. Chan et al.
Journal of Ophthalmic and Vision Research
Artificial Intelligence in Healthcare and Education
article

Utilizing ChatGPT-3.5 to Assist Ophthalmologists in Clinical Decision-making

Md Ibrahim Tahashilder, Rodney Guiseppi, Natalia Penaloza, Anthony K.C. Chan, Touka Banaee, Samir Cayenne
article en

Abstract

These results demonstrate that ChatGPT-3.5 may help assist clinicians in suggesting possible diagnoses based on varying complex clinical information. However, its accuracy is limited, and it cannot be utilized as a replacement for clinical decision-making.

Journal of Ophthalmic and Vision ResearchVol. 20
The University of Texas Medical Branch at Galveston (US)
Openalex Percentile: Top 94%
Artificial Intelligence in Healthcare and Education
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.