Chief & Presenting Author: Dr.PIYUSH JAIN
Co Author(s): Dr.Ankita Mishra
Abstract
Design -Cross-sectional study Setting – Single center Participants -OpenAI ChatGPT (GPT 3.5),Google gemini and ola krutrim
Method hundred Clinical Vignettes representating common ophthalmic conditions from Tertiary Care OPD were developed and a standardized pathway of prompt was presented to each tool in march to april 2024.
Result – Gemini , ChatGPT and krutrim listed the appropriate diagnosis among the top three suggestions in 95 (95%), 89(89%), 60(60%), and respectively. Conclusion This paper aims to provide a comprehensive overview of AI’s performance in triage and referrals for ophthalmic conditions, addressing the current landscape, challenges, and the promising path forward. It serves as a valuable resource for ophthalmologists, researchers, and healthcare professionals seeking to embrace the potential of artificial Intelligence.
