The Utility of ChatGPT in Diabetic Retinopathy Risk Assessment: A Comparative Study with Clinical Diagnosis [Letter]

Elanda Fikri1,2 1Department of Environmental Health, Poltekkes Kemenkes Bandung, Bandung, Indonesia; 2Center of Excellence on Utilization of Local Material for Health Improvement, Bandung Health Polytechnic, Bandung, IndonesiaCorrespondence: Elanda Fikri, Department of Environmental Health, Poltekke...

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Bibliographic Details
Published in:Clinical ophthalmology (Auckland, N.Z.) N.Z.), 2024, Vol.18, p.127-128
Main Author: Fikri, Elanda
Format: Article
Language:English
Subjects:
artificial intelligence
chatgpt
Comparative analysis
diabetes
Diabetic retinopathy
Letter
Ophthalmology
Risk assessment
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Summary:Elanda Fikri1,2 1Department of Environmental Health, Poltekkes Kemenkes Bandung, Bandung, Indonesia; 2Center of Excellence on Utilization of Local Material for Health Improvement, Bandung Health Polytechnic, Bandung, IndonesiaCorrespondence: Elanda Fikri, Department of Environmental Health, Poltekkes Kemenkes Bandung, Jl.Pajajaran 56, Bandung, Jawa Barat, Indonesia, Email elandafikri@yahoo.com
ISSN:1177-5467
1177-5483
1177-5483
DOI:10.2147/OPTH.S457160