Our Research
Harnessing the power of “real-world” data to improve diagnosis, treatment, and outcomes in ophthalmology:
- Diabetic retinopathy:
- Prediction models for progression of diabetic retinopathy
- Role of social determinants of health in disease progression
- Clinical decision support tool for patients and clinicians
- Glaucoma:
- Emulating glaucoma randomized clinical trials using observational data
- Improving neovascular glaucoma outcomes
- Clinical outcomes of laser trabeculoplasty
- Infection rates following tonometry measurement
- Risk factors of acute angle closure attack
- Cataract outcomes:
- Impact of telehealth on cataract post-operative management
- Risk factors for zonulopathy
- Pterygium outcomes:
Unlocking the potential of clinical notes
- Automated classification approaches using natural language processing and text mining methods for diabetic retinopathy and neovascular glaucoma
- Comparing diagnosis codes to automated classification approaches for cohort selection
- Improving detection of disease duration and social determinants of health from clinical notes
Developing prospective registry-based randomized controlled trials (RRCT) in ophthalmology
- Planning phase to lay the necessary foundation for future RRCTs in ophthalmology