Recommendations for diabetic macular edema management by retina specialists and large language model-based artificial intelligence platforms.

ABSTRACT:

Purpose

To study the role of artificial intelligence (AI) in developing diabetic macular edema (DME) management recommendations by creating and comparing responses to clinicians in hypothetical AI-generated case scenarios. The study also examined whether its joint recommendations followed national DME management guidelines.

Methods

The AI hypothetically generated 50 ocular case scenarios from 25 patients using keywords like age, gender, type, duration and control of diabetes, visual acuity, lens status, retinopathy stage, coexisting ocular and systemic co-morbidities, and DME-related retinal imaging findings. For DME and ocular co-morbidity management, we calculated inter-rater agreements (kappa analysis) separately for clinician responses, AI-platforms, and the "majority cl

SUBMITTER: Choudhary A 

PROVIDER: S-EPMC10900631 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature