Автоматизированная сортировка новых направлений по поводу кератоконуса с использованием мультимодального глубокого обучения

Automated Triage for New Keratoconus Referrals Using Multimodal Deep Learning.

Keratoconus is a common primary corneal ectasia characterized by progressive thinning and steepening of the cornea, resulting in irregular astigmatism, increased higher-order aberrations, and visual deterioration. While keratoconus typically progresses through childhood and early adulthood before stabilizing by the third or fourth decade, approximately 10% of untreated cases eventually require corneal transplantation.¹ Corneal cross-linking has emerged as the standard of care for progressive disease, successfully arresting progression in 88%–100% of patients.², ³, ⁴, ⁵