Usui Yoshihiko

Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Random forest algorithms based on 28 immune mediators in aqueous humor successfully predicted the diagnosis of vitreoretinal lymphoma, acute retinal necrosis, and endophthalmitis.

Incidence and treatment patterns of acute retinal necrosis: a nationwide population-based cohort study.

In the largest population-based study of ARN to date, nationwide incidence in Japan closely matched prior UK estimates, suggesting cross-system consistency in ARN epidemiology.