An artificial intelligence (AI) algorithm for identifying keratoconus was published in December in the SCI journal, 'American Journal of Ophthalmology' (AJO).

52 ophthalmologists from 14 countries in Europe, North America, and Asia, including Korea(Dr. Sung-Yong Kang at EYEREUM EYE CLINIC), have collaborated to develop an AI algorithm (TBI v2) that improves the accuracy of ectasia identification using the tomographic-biomechanical index (TBI). 

It is significant to improve the accuracy of keratoconus diagnosis, which characterizes the sensitivity of ectasia(keratoconus) in various asymmetric corneal groups.