How artificial intelligence helps predict vision loss

International research team from Moorfields Eye Hospital and University College London achieved significant progress in early detection and treatment of keratoconus. Serious ophthalmological disease capable of leading to complete vision loss. Scientists developed AI algorithm capable of predicting disease development with high accuracy already at first appointment with ophthalmologist. Which radically changes approach to treating this pathology.

Keratoconus is a degenerative disease. In which progressive thinning and bulging of cornea occurs. Leading to serious vision impairments. This pathology affects approximately 1 in 350 people. Predominantly affecting teenagers and young adults. Traditionally, doctors required years of observations.

Medics and researchers created massive database for this. Based on large-scale analysis of 36,000 eye scans. Obtained from nearly 7,000 patients. This extensive database enabled creation of powerful AI model. Capable of determining with 90% accuracy whether urgent intervention is necessary or regular monitoring is sufficient.

Now implementation of AI in clinical practice will allow preserving vision for large number of patients.