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Translational Vision Science & Technology|June 21, 2024
Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health RecordsSamuel Barry, Sophia Y WangFrontiers in Artificial Intelligence|November 7, 2025
Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomesSamuel Barry, Sophia Y WangCurrent Opinion in Ophthalmology|January 3, 2020
Management of the glaucoma patient progressing at low normal intraocular pressureSophia Y Wang, Kuldev SinghOphthalmology Science|March 24, 2025
Artificial Intelligence Models to Identify Patients with High Probability of Glaucoma Using Electronic Health RecordsRohith Ravindranath, Sophia Y WangTranslational Vision Science & Technology|March 30, 2022
Predicting Glaucoma Progression Requiring Surgery Using Clinical Free-Text Notes and Transfer Learning With TransformersWendeng Hu, Sophia Y WangOphthalmology Science|March 28, 2025
Artificial Intelligence Models to Identify Patients at High Risk for Glaucoma Using Self-reported Health Data in a United States National CohortRohith Ravindranath, Joel Naor, Sophia Y WangOphthalmology Science|July 7, 2023
Predicting Glaucoma Progression to Surgery with Artificial Intelligence Survival ModelsShiqi Tao, Rohith Ravindranath, Sophia Y WangOphthalmic Epidemiology|May 7, 2025
The Impact of Race and Ethnicity on Cataract Surgery in the Nationwide All of Us CohortKaren S Fernandez, Rohith Ravindranath, Sophia Y WangAmerican Journal of Ophthalmology|July 14, 2012
Prevalence and predictors of depression among participants with glaucoma in a nationally representative population sampleSophia Y Wang, Kuldev Singh, Shan C LinCurrent Eye Research|June 25, 2013
Glaucoma prevalence and the intake of iron and calcium in a population-based studySophia Y Wang, Kuldev Singh, Shan C LinPageof 8