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Presentations

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Upcoming Presentations: 

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

Past Presentations

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 

ARVO 2021

  • Sophia Y Wang, Benjamin Tseng. Looking for Low Vision in Electronic Health Records

AGS 2021

  • Sophia Y Wang, Benjamin Tseng. Deep Learning Approaches for Predicting Glaucoma Progression Requiring Surgery Using Electronic Health Records Data and Natural Language Processing. Click to download the poster.

 

Poster Presentations

Podium Presentations

  • Gaining the Necessary Skills to Work With Big Data.
    ARVO Big Data Conference 2020
    Sophia Y Wang