Li Yangjiani

Yang Jinpeng, Li Yangjiani, Zhang Qi, Zeng Simei, Huang Haishun, Wu Caiqing et al.

Optic nerve shape affects structure-function correspondence in myopic glaucoma, suggesting specific visual field sectors are key for assessing highly myopic glaucoma.

Singh Rishabh, Rauscher Franziska G, Li Yangjiani, Eslami Mohammad, Kazeminasab Saber, Zebardast Nazlee et al.

This study found that OCT's normative percentiles of retinal nerve fiber layer thickness did not improve prediction of glaucomatous visual field loss compared to raw thickness measurements, challenging current clinical assumptions.

Eslami Mohammad, Kazeminasab Saber, Sharma Vishal, Li Yangjiani, Fazli Mojtaba, Wang Mengyu et al.

This Python package (PyVisualFields) was developed to enable visual field analysis in Python, bridging a gap for AI-driven glaucoma research and facilitating clinical application development.

Halawa Omar A, Jin Qingying, Pasquale Louis R, Kang Jae H, Lorch Alice C, Sobrin Lucia et al.

This study found Black, Asian, and Hispanic patients had worse baseline glaucoma. Black patients also experienced less frequent testing and faster progression, highlighting disparities needing targeted interventions.

Saini Chhavi, Shen Lucy Q, Pasquale Louis R, Boland Michael V, Friedman David S, Zebardast Nazlee et al.

Unsupervised AI analyzing optic nerve and RNFL surface shapes in glaucoma patients improved prediction of current and future visual field loss, offering a new tool for disease management.