Washington University Develops AI System to Enhance Eye Disease Diagnosis
Researchers at Washington University School of Medicine in St. Louis, in collaboration with the University of Washington and Genentech, Inc., have developed an experimental artificial intelligence (AI) system named OCTCube-M. This system is designed to improve the diagnosis of eye diseases by analyzing 3D images of the retina. The AI system has shown to be more accurate than previous models in identifying eight different retinal diseases, including age-related macular degeneration. The study, published in Nature Biomedical Engineering, highlights the system's ability to predict the progression of severe conditions like geographic atrophy. Additionally, the AI can infer health risks beyond the eye, such as heart attack and stroke, based on retinal imaging.