Jonathan H. Chen

Assistant Professor

Stanford University School of Medicine

United States

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About

Jonathan H. Chen is an Assistant Professor at Stanford Medicine in the United States. His research areas include AI in healthcare, image compression, and clinical decision-making, with recent publications addressing topics such as matrix factorization for low bit rate image compression and the application of large language models in clinical settings. His work also explores innovative methods for improving chronic disease screening and understanding physician biases in AI-assisted decision-making.

Articles (16)

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2026

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2020

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2020

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2020

Collaborators (7)

Jeannie Huang

Professor

University of California, San Diego

UNITED STATES

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Fateme Nateghi Haredasht

Stanford University

UNITED STATES

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Leon Moskatel

Stanford University

UNITED STATES

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Sabine Van Huffel

Professor

KU Leuven

BELGIUM

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Ethan Goh

Stanford University

UNITED STATES

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Sean Mackey

Stanford University School of Medicine

UNITED STATES

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Stephen P. Ma

Clinical Assistant Professor

Stanford University

UNITED STATES

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Jonathan H. Chen

Research Interests

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About

Articles (16)

Quantization-aware matrix factorization for low bit rate image compression

Fine-Tuning Methods for Large Language Models in Clinical Medicine by Supervised Fine-Tuning and Direct Preference Optimization: Comparative Evaluation

Physician clinical decision modification and bias assessment in a randomized controlled trial of AI assistance

MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents

The impact of a best practice advisory for shifting to oral medications: A quality improvement project

Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography

The Problem of Pain in Rheumatology: Variations in Case Definitions Derived From Chronic Pain Phenotyping Algorithms Using Electronic Health Records

Learning from the EHR to implement AI in healthcare

Thick Data Analytics (TDA): An Iterative and Inductive Framework for Algorithmic Improvement

Who’s Training Whom?

Assessment of Prevalence of Adolescent Patient Portal Account Access by Guardians

OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.

ClinicNet: machine learning for personalized clinical order set recommendations

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data.

Deep learning interpretation of echocardiograms.

Collaborators (7)

Jeannie Huang

Fateme Nateghi Haredasht

Leon Moskatel

Sabine Van Huffel

Ethan Goh

Sean Mackey

Stephen P. Ma

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