Presentations

American Academy of Ophthalmology October 2024

• Sophia Y Wang. No Eye Exam Needed: Using AI for EHRs to Identify Patients at High Risk for Glaucoma. Podium Poster.

The Association for Research in Vision and Ophthalmology May 2024

• Rohith Ravindranath, Sophia Y Wang. Development of Artificial Intelligence Models to Identify Patients at High Risk For Glaucoma Using National Electronic Health Records. Paper presentation.
• Sophia Y Wang, Rohith Ravindranath. The Impact of Race, Ethnicity, and Sex on Fairness in Artificial Intelligence for Glaucoma. Poster presentation.
• Simmi Sen, Sophia Y Wang. PhacoTrainer: Artificial Intelligence-Generated Performance Ratings for Cataract Surgery. Poster presentation.
• Abigail Koornwinder, Youchen Zhang, Rohith Ravindranath, Robert T. Chang, Isaac A. Bernstein, Sophia Y Wang. Multimodal Artificial Intelligence Models Predicting Glaucoma Progression to Surgery Using Electronic Health Records and Retinal Nerve Fiber Layer Scans. Poster presentation.
• Karen Fernandez, Rohith Ravindranath, Sophia Y Wang. Factors Associated with Cataract Surgery in the Nationwide All Of Us Cohort. Paper Presentation.

American Glaucoma Society February-March 2024

• Su Kara, Sophia Y Wang. Precise Localization of the Trabecular Meshwork in Microinvasive Glaucoma Surgery Videos via Deep Learning
• Sophia Y Wang, Rohith Ravindranath. The Role of Race, Ethnicity, and Gender in Fairness for Artificial Intelligence Models for Glaucoma

American Academy of Ophthalmology November 2023

• Sophia Y Wang, MD, MS, Samuel Barry. Predicting glaucoma surgery outcomes using artificial intelligence
• Sophia Wang, Rohith Ravindranath, Joshua Stein. Artificial intelligence models for predicting glaucoma progression in a large multicenter electronic health records consortium: the Sight Outcomes Research Collaborative (SOURCE)

World Glaucoma Congress June-July 2023

• Sophia Y Wang, MD, MS, Joshua D Stein, MD, MS. Machine Learning Approaches for Predicting Glaucoma Progression in a Large Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative (SOURCE)

American Ophthalmological Society May 2023

• Sophia Y Wang, MD, MS, Joshua D Stein, MD, MS. Machine Learning Approaches for Predicting Glaucoma Progression in a Large Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative (SOURCE)

ARVO Annual Meeting April 2023

• Sophia Y Wang, MD, MS, Joshua D Stein, MD, MS. Machine Learning Approaches for Predicting Glaucoma Progression in a Large Multicenter Electronic Health Records Consortium: The Sight Outcomes Research Collaborative (SOURCE)
• Victor Zhang, MS; Haiwen Gui; Robert Chang; MD, Sophia Wang. Real-World Agreement of Same-Visit Tono-pen vs Goldmann Applanation Intraocular Pressure Measurements Using Electronic Health Records 
• Isaac Bernstein, Abigail Koornwinder, Sophia Y Wang, MD, MS. Seeing What Patients See: Identifying Visual Acuity from Ophthalmology Clnical Progress Notes Using Deep Learning and Natural Language Processing. Poster, MIT outstanding poster finalist. 

University of San Francisco Data Science Conference March 2023

• Sophia Y Wang, MD, MS. Envisioning the Future: Artificial Intelligence for Preserving Vision. Presentation. 

Asia Pacific Academy of Ophthalmology Feb 2023

• Sophia Y Wang, MD, MS. Is there any role for glaucoma screening? North American Perspective. Presentation. 

EnVision Summit Feb 2023

• Sophia Y Wang, MD, MS. AngleTrainer: AI-Enhanced MIGS Surgery. Presentation. 

AI+Health Conference Dec 2022

• Sophia Y Wang, MD, MS. PhacoTrainer: Improving Cataract Surgery with Computer Vision. Presentation. 

Future Vision Forum Oct 31-Nov 1 2022

• Isaac Bernstein, Abby Koornwinder, Sophia Y Wang, MD, MS. Seeing What Patients See: Identifying Visual Acuity from Ophthalmology Clnical Progress Notes Using Deep Learning and Natural Language Processing. Poster. 

AAO Annual Meeting Sep-Oct 2022

• Eric Yeh, MS, Sophia Y Wang, MD, MS. Summarize Ophthalmology Progress Notes without Direct Supervision. Poster. 
• Sophia Y Wang, MD, MS. The State of AI in Glaucoma. Symposium. 

ARVO Annual Meeting March 2022

• Haiwen Gui, BS, Sophia Y Wang, MD, MS. Explaining Deep Learning Models for Low Vision Prognosis
• Sophia Y Wang, MD, MS; Justin Huang, MS; Hannah Hwang, BS, Tina Hernandez-Bousard, PhD. Named entity recognition in ophthalmology clinical progress notes: What’s in the eye exam?

American Academy of Ophthalmology Annual Meeting Nov 13-15 2021

• Eric B Lee, BS, Wendeng Hu, MS, Kuldev Singh, MD, Sophia Y Wang, MD, MS. Association between blood pressure and open angle glaucoma in a U.S. nationwide electronic health records cohort study

9th World Glaucoma Congress 2021

• Eric B Lee¹, BS, Wendeng Hu¹, MS, Kuldev Singh¹, MD, Sophia Y Wang¹, MD. The association between blood pressure, blood pressure medications, and glaucoma in a nationwide longitudinal electronic health records database.  

ARVO 2021

• Eric Yeh, Anjal M Jain, Olivia Fox, Sophia Y Wang. PhacoTrainer: Deep Learning for Activity Recognition in Cataract Surgical Videos. 
• Yash Karandikar, Sophia Wang. Predicting High Impact Ophthalmology Articles Using Machine Learning and Natural Language Processing.
• Sophia Y Wang, Benjamin Tseng. Looking for Low Vision: Deep Learning and Natural Language Processing to Predict Visual Prognosis