R.V. Paul Chan

Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed.

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.

Federally Qualified Health Centers as a Model to Improve Vision Health: A Systematic Review.

Findings of this systematic review suggest that FQHCs are well positioned to increase vision services and thus improve vision health equity, serving populations who are at a higher risk for vision disorders.

Combined Corneal Transplant, Glaucoma Drainage Implantation, and Pars Plana Vitrectomy Outcomes in a Pediatric Population.

Combined keratoplasty, GDI, and PPV seems to be effective in the management of complex pediatric eye disease.

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.