Researchers develop machine learning tool to detect eye disease early

Minhaj Nur Alam, assistant professor of electrical and computer engineering and director of the Quantitative Imaging and AI Laboratory in the W.S. Lee College of Engineering, is developing artificial intelligence technology that analyzes retinal images to catch eye conditions years before patients experience symptoms. The system enables primary care providers to screen at-risk individuals during routine appointments and refer them to specialists when needed, making early detection more accessible for underserved populations.

Read the full article at WSOC-TV.