Abstract
Presentation Description :
In this talk, I will explore the growing role and evaluation metrics of AI-driven language models in ophthalmic healthcare. Beginning with an assessment of their accuracy in addressing patient queries and medical text mining, the discussion will then extend to the comprehensiveness of these models in understanding the domain-specific knowledge of ophthalmology. Special attention will be given to the self-awareness of these algorithms, focusing on their limitations and ethical considerations. The talk aims to present a balanced view by showcasing real-world applications while also underlining existing constraints and areas for future research.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.