Central Vision Loss in Glaucoma

Our recent paper describes that how central vision is preserved in glaucoma.

Detecting Glaucoma Progression by Artificial Intelligence

Our recent paper details that how the visual function patterns derived by artificial intelligence can be used to detect glaucoma progression.

Assess Structural Patterns by Artificial Intelligence

Our recent paper demonstrates that artificial intelligence can be used to derive structural patterns to facilitate structure-function relationship assessment.

Retinal Biomarker for Central Vision Loss in Glaucoma

Our recent paper shows that the nasalization of central retinal vessel trunk location is associated with central vision loss in glaucoma.

We work in the intersection among mathematics, computer science, artificial intelligence and clinical ophthalmology. We aim to leverage mathematical, statistical and artificial intelligence modeling to enhance our knowledge and understanding of eye diseases and ultimately improve clinical treatment.

Media Report: Unsupervised AI Can Help Identify Central Visual Field Loss Patterns

Healio reported our findings applying unsupervised AI to characterize central vision loss in glaucoma.