Rashidisabet Homa

Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data.

DL models trained on commonly used public data have limited ability to generalize to RWD for classifying glaucoma. They perform similarly to RWD models for OD segmentation.

Robust Uncertainty-Informed Glaucoma Classification Under Data Shift.

Our approach addresses the challenge of generalization in standard DL models for glaucoma classification across diverse datasets by selectively withholding predictions when the model is uncertain.

Which OCT parameters can best predict visual field progression in glaucoma?