We have developed an artificial intelligence approach using archetypal analysis to detect visual field progression in glaucoma. The archetype method can detect visual field progression more accurately than existing methods with respect to the clinician assessment. Compared with existing approaches, our archetype method provides not only progression status but also quantifies progressed regions. Tracking pattern changes over time by our archetype method can assist clinicians to better evaluate VF series for progression detection. 

Publication link: https://iovs.arvojournals.org/article.aspx?articleid=2723059