Assessing the appropriateness and completeness of ChatGPT-4's AI-generated responses for queries related to diabetic retinopathy.

Journal: Indian journal of ophthalmology

Published Date: Mar 8, 2024

Abstract

OBJECTIVE: To evaluate the appropriateness of responses generated by an online chat-based artificial intelligence (AI) model for diabetic retinopathy (DR) related questions.

Authors

Brughanya Subramanian

Department of Ophthalmology, Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
Ramachandran Rajalakshmi

Department of Diabetology, Ophthalmology and Epidemiology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India.
Sobha Sivaprasad

Moorfields Eye Hospital City Road Campus, London, UK.
Chetan Rao

Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, 600006, India.
Rajiv Raman

Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.

Keywords

Artificial Intelligence Cross-Sectional Studies Diabetic Retinopathy Humans Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (38953134)

Assessing the appropriateness and completeness of ChatGPT-4's AI-generated responses for queries related to diabetic retinopathy.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals