Blurry Lines : Where AI Ends and Human Expertise Begins in Retinal Disease Detection?

Abstract

The number of patients suffering from diabetic retinopathy (DR) and age-related macular degeneration (AMD) is increasing. Artificial intelligence (AI) is now being used in fundus imaging to detect these conditions. It is essential for clinicians to understand AI principles and requirements. This article reviews the latest research on AI in assessing fundus images. It is based on a master’s thesis which examined specialists’ experiences with AI in AMD and DR screening. This qualitative study involved advanced professionals and optometrists who tested AI in daily eye examinations. Theme interviews revealed the potential of AI to assist, optimize workflow, and improve patient management. However, more extensive AI education and training are crucial for professionals to maximize its benefits.