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Sophia Y Wang

Assistant Professor of Ophthalmology

Stanford University

United States

Research Interests

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Articles (20)

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Collaborators (9)

Maria Woodward

University of Michigan

UNITED STATES

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Akihiko Nishimura

Assistant Professor

Johns Hopkins University Bloomberg School of Public Health

UNITED STATES

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Dustin D. French

Professor

Northwestern University

UNITED STATES

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Mohammad Adibuzzaman

Assistant Professor

Oregon Health & Science University

UNITED STATES

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Tina Hernandez-Boussard

Associate Dean of Research | Professor of Medicine | C-Suite & NIH Advisor | Board Director | Corporate Governance & Digital Health Strategy

Stanford University

UNITED STATES

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Theodore Leng

Stanford University School of Medicine

UNITED STATES

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Jiyeong Kim

Assistant Professor

University of California, San Francisco

UNITED STATES

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Raymond Areaux

Faculty, Associate Professor

University of Minnesota

UNITED STATES

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Eleni Linos

Stanford University

UNITED STATES

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Sophia Y Wang

Research Interests

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Articles (20)

Unseen Insights: A Retrospective Natural Language Processing Study Exploring Secure Patient Messages in Ophthalmology (Preprint)

Large Language Models Approximate Inter-Expert Agreement in Glaucoma Suspect and Glaucoma Classification from Multimodal Data

Machine versus Human Vertical Cup-Disc-Ratio Grading

Evaluating the impact of social determinants of health on model performance and fairness in artificial intelligence for glaucoma progression prediction

Multi-Year Analysis of Demographic Reporting in Ophthalmology Artificial Intelligence Studies

Assessing physical activity and sleep patterns in glaucoma using wearable devices

Rare Complications of Selective Laser Trabeculoplasty

The relationship between sociodemographic factors and perceived trust as determinants of glaucoma health literacy

Loneliness, Blindness, and Major Eye Disease.

Semaglutide and Neovascular Age-Related Macular Degeneration Among Adults with Type 2 Diabetes: An OHDSI Network Study.

Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress Notes.

Improving Fairness and Mitigating Bias in Multicenter Electronic Health Records Models to Predict Glaucoma Outcomes

Decline of Visual Function and Risk of Legal Blindness With Age in RPGR-Associated Retinal Degeneration: A Multicenter Study.

How Far Have Large Language Models Advanced in Ophthalmology? A Systematic Review of Their Development, Evaluation, and Readiness for Clinical Use.

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology.

Leveraging Large Language Models with Sequential Prompting to Extract Eye Examination Findings from Free-Text Ophthalmology Notes.

Validating a Deep Learning Algorithm to Identify Patients with Glaucoma using Systemic Electronic Health Records

Predicting progressive vision loss in glaucoma patients using functional principal component analysis and electronic health records.

Semaglutide and diabetic retinopathy: an OHDSI network study.

Multicenter evaluation of machine and deep learning methods to predict glaucoma surgical outcomes.

Collaborators (9)

Maria Woodward

Akihiko Nishimura

Dustin D. French

Mohammad Adibuzzaman

Tina Hernandez-Boussard

Theodore Leng

Jiyeong Kim

Raymond Areaux

Eleni Linos

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