Researchers at the 43rd Congress of the European Society of Cataract and Refractive Surgeons unveiled a revolutionary AI system that can predict vision loss years before current medical tools by analyzing eye scans to identify keratoconus patients at high risk of progression.
The technology, developed by teams at Moorfields Eye Hospital and University College London, was trained on over 36,000 images from nearly 7,000 patients.
The algorithm can sort patients into low-risk and high-risk groups with up to 90% accuracy.
Keratoconus, affecting up to 1 in 350 people, causes the cornea to bulge outward and impairs vision in young adults.
This breakthrough could reduce the need for corneal transplants and save sight for thousands of patients worldwide.
