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ARVO Annual Meeting Abstract June 2025

Evaluating RetFound: A Foundation Model for Glaucoma Detection Using Macular OCT Images

Joseph Tran; Rohith Ravindranath; Robert T Chang; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):391.

ARVO Annual Meeting Abstract June 2025

Large Language Models Using Free Text Clinical Notes Outperform ICD Coding in Identifying Patients With and Without Glaucoma

Tushar Mungle; Chris A Andrews; Suzann Pershing; Brian Rice; Sophia Y Wang; Malvika Pillai; Amanda K Bicket; Julie M Rosenthal; Amy D Zhang; Wen-Shin Lee; Chase A Ludwig; Bethlehem Mekonnen; Tina Hernandez-Boussard; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):2716.

ARVO Annual Meeting Abstract June 2025

Mitigating Demographic Bias in Federated Learning for Glaucoma Detection

Minghan LI; Yan Luo; Min Shi; Mohammad Eslami; Saber Kazeminasab Hashemabad; Michael Morley; Tobias Elze; Lucy Q Shen; Louis R Pasquale; Sophia Y Wang; Nazlee Zebardast; Michael V Boland; David S Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):859.

ARVO Annual Meeting Abstract June 2025

Improving Instructional Compliance for AI-Generated Fundus Photos with Demographics-Aware Diffusion Model

Yan Luo; Minghan LI; Mohammad Eslami; Saber Kazeminasab Hashemabad; Tobias Elze; Lucy Q Shen; Louis R Pasquale; Sophia Y Wang; Michael Morley; Nazlee Zebardast; Michael V Boland; David S Friedman; Mengyu Wang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3939.

ARVO Annual Meeting Abstract June 2025

Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model

Meng Wang; Tian Lin; Aidi Lin; Ke Zou; Yih Chung Tham; Dianbo Liu; Wendy Meihua Wong; Sahil Thakur; Beau J Fenner; Sophia Y Wang; Cecilia S Lee; Lucia Sobrin; Haoyu Chen; Huazhu Fu; Ching-Yu Cheng

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):499.

ARVO Annual Meeting Abstract June 2025

Advancing Question-Answering in Ophthalmology with Retrieval-Augmented Generation (RAG): Benchmarking Open-source and Proprietary Large Language Models

Quang Ngoc Nguyen; Anh Duy Nguyen; Khang Dang; Siyin Liu; Khai Nguyen; Sophia Y Wang; William Woof; Praveen J Patel; Konstantinos Balaskas; Johan Thygesen; Honghan Wu; Nikolas Pontikos

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4638.

ARVO Annual Meeting Abstract June 2025

Testing Computable Phenotypes of Moderate to Severe Glaucoma Based on Standardized Data Concepts

Kimberley Yu; Zhiwei Li; Sreenidhi Munimadugu; Carl Kesselman; Ryan Scott Shean; Alexander T. Hong; Tanner Frediani; Alan Tang; Nova Dea; Jose-Luis Ambite; Michael Pazzani; Kyle Bolo; Lauren Daskivich; Sophia Y Wang; Michael V Boland; Swarup Sai Swaminathan; Brian Craig Stagg; Aiyin Chen; Sally Liu Baxter; Benjamin Xu

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):4585.

ARVO Annual Meeting Abstract June 2025

Predicting glaucoma surgical outcomes with artificial intelligence in a multicenter electronic health records repository

Sophia Y Wang; Samuel Barry

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):406.

ARVO Annual Meeting Abstract June 2025

Leveraging Generative Language Models to Recognize Eye Examination Findings in Ophthalmology Progress Notes

Franklin Ruan; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3917.

ARVO Annual Meeting Abstract June 2025

Performance and Generalizability of a Deep Learning Model for Fundus Photographs In a Diverse Northern California Population

Sitara Hirji; Karen Chen; Abigail Koornwinder; Houri Khanian; Boon Peng Yap; Kelvin Zhenghao Li; David Myung; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2025; 66(8):3876.

Artificial Intelligence May 2025

PhacoTrainer: Automatic Artificial Intelligence-Generated Performance Ratings for Cataract Surgery

PDF

Hsu-Hang Yeh; Simmi Sen; Jonathan C. Chou; Karen L. Christopher; Sophia Y. Wang
TAGS: cataract, cataract surgery, intelligence, surgeons, surgical procedures, operative, phacoemulsification, eye
Trans. Vis. Sci. Tech.. 2025; 14(5):2. https://doi.org/10.1167/tvst.14.5.2

Includes: Supplemental Content

Artificial Intelligence March 2025

Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans

PDF

Abigail Koornwinder; Youchen Zhang; Rohith Ravindranath; Robert T. Chang; Isaac A. Bernstein; Sophia Y. Wang
TAGS: artificial intelligence, electronic medical records, glaucoma, retinal nerve fiber layer, surgical procedures, operative
Trans. Vis. Sci. Tech.. 2025; 14(3):27. https://doi.org/10.1167/tvst.14.3.27

Includes: Supplemental Content

Artificial Intelligence September 2024

Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos

PDF

Su Kara; Michael Yang; Hsu-Hang Yeh; Simmi Sen; Hannah H. Hwang; Sophia Y. Wang
TAGS: deep learning, learning, surgical procedures, operative, trabecular meshwork, transfer technique, cataract, training
Trans. Vis. Sci. Tech.. 2024; 13(9):5. https://doi.org/10.1167/tvst.13.9.5

Includes: Multimedia, Supplemental Content

Artificial Intelligence June 2024

Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records

PDF

Samuel Barry; Sophia Y. Wang
TAGS: electronic medical records, glaucoma, machine learning, surgical outcome, surgical procedures, operative, glaucoma surgery, pharmaceutical preparations, intraocular pressure, surgical failure, preoperative care
Trans. Vis. Sci. Tech.. 2024; 13(6):15. https://doi.org/10.1167/tvst.13.6.15

Includes: Supplemental Content

ARVO Annual Meeting Abstract June 2024

Factors Associated with Cataract Surgery in the Nationwide All Of Us Cohort

Karen Fernandez; Rohith Ravindranath; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3847.

ARVO Annual Meeting Abstract June 2024

Development of Artificial Intelligence Models to Identify Patients at High Risk For Glaucoma Using National Electronic Health Records

Rohith Ravindranath; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):1505.

ARVO Annual Meeting Abstract June 2024

Blood-born biomarkers for optic disc drusen

Yiting Zhang; Xia Gong; Heather Moss; Shannon J. Beres; Sophia Y Wang; Yaping Joyce Liao

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):104.

ARVO Annual Meeting Abstract June 2024

Multimodal Artificial Intelligence Models Predicting Glaucoma Progression to Surgery Using Electronic Health Records and Retinal Nerve Fiber Layer Scans

Abigail Koornwinder; Youchen Zhang; Rohith Ravindranath; Robert Chang; Isaac Alden Bernstein; Sophia Y Wang

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3718.

ARVO Annual Meeting Abstract June 2024

The Impact of Race, Ethnicity, and Sex on Fairness in Artificial Intelligence for Glaucoma

Sophia Y Wang; Rohith Ravindranath; Tina Hernandez-Boussard; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2024; 65(7):3719.

ARVO Annual Meeting Abstract June 2023

Machine learning approaches for predicting glaucoma progression in a large multicenter electronic health records consortium: the Sight Outcomes Research Collaborative (SOURCE)

Sophia Y Wang; Joshua D Stein

Invest. Ophthalmol. Vis. Sci.. 2023; 64(8):357.

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Evaluating RetFound: A Foundation Model for Glaucoma Detection Using Macular OCT Images

Large Language Models Using Free Text Clinical Notes Outperform ICD Coding in Identifying Patients With and Without Glaucoma

Mitigating Demographic Bias in Federated Learning for Glaucoma Detection

Improving Instructional Compliance for AI-Generated Fundus Photos with Demographics-Aware Diffusion Model

Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model

Advancing Question-Answering in Ophthalmology with Retrieval-Augmented Generation (RAG): Benchmarking Open-source and Proprietary Large Language Models

Testing Computable Phenotypes of Moderate to Severe Glaucoma Based on Standardized Data Concepts

Predicting glaucoma surgical outcomes with artificial intelligence in a multicenter electronic health records repository

Leveraging Generative Language Models to Recognize Eye Examination Findings in Ophthalmology Progress Notes

Performance and Generalizability of a Deep Learning Model for Fundus Photographs In a Diverse Northern California Population

PhacoTrainer: Automatic Artificial Intelligence-Generated Performance Ratings for Cataract Surgery

Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans

Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos

Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records

Factors Associated with Cataract Surgery in the Nationwide All Of Us Cohort

Development of Artificial Intelligence Models to Identify Patients at High Risk For Glaucoma Using National Electronic Health Records

Blood-born biomarkers for optic disc drusen

Multimodal Artificial Intelligence Models Predicting Glaucoma Progression to Surgery Using Electronic Health Records and Retinal Nerve Fiber Layer Scans

The Impact of Race, Ethnicity, and Sex on Fairness in Artificial Intelligence for Glaucoma

Machine learning approaches for predicting glaucoma progression in a large multicenter electronic health records consortium: the Sight Outcomes Research Collaborative (SOURCE)

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