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

Keerthana Raghu,1,* Tamilselvi S,2,* Chitralekha S Devishamani,1 Suchetha M,2 Ramachandran Rajalakshmi,3 Rajiv Raman1 1Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India; 2Centre for Health Care Advancement, Innovation, and Research Department, Vellore Instit...

Full description

Saved in:
Bibliographic Details
Published in:Clinical ophthalmology (Auckland, N.Z.) N.Z.), 2024-02, Vol.18, p.313-314
Main Authors: Raghu, Keerthana, S, Tamilselvi, S Devishamani, Chitralekha, M, Suchetha, Rajalakshmi, Ramachandran, Raman, Rajiv
Format: Article
Language:English
Subjects:
Comparative analysis
Diabetic retinopathy
Ophthalmology
Response to Letter
Risk assessment
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Keerthana Raghu,1,* Tamilselvi S,2,* Chitralekha S Devishamani,1 Suchetha M,2 Ramachandran Rajalakshmi,3 Rajiv Raman1 1Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India; 2Centre for Health Care Advancement, Innovation, and Research Department, Vellore Institute of Technology, Chennai, Tamil Nadu, India; 3Department of Diabetology, Ophthalmology and Epidemiology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India*These authors contributed equally to this workCorrespondence: Rajiv Raman, Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India, Email rajivpgraman@gmail.com
ISSN:1177-5467
1177-5483
1177-5483
DOI:10.2147/OPTH.S461186