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Advancing Healthcare AI
Through Open Science Research

ARISE brings together researchers across institutions at the intersection of medicine, technology, and real-world impact.

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Explore our tools and prototypes designed to advance clinical AI research and practice.

State of Clinical AI Report 2026

The Report is the inaugural annual synthesis of evidence on how artificial intelligence is being applied in clinical medicine.

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Do NOHARM Benchmark

A specialist-validated benchmark towards deploying clinically accurate and safe models.

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Insights, perspectives, and updates from the ARISE research community.

Public Trust Remains The Limiting Factor For AI Adoption In U.S. Healthcare

Jan 18, 2026

Author's Corner: Does AI have Superhuman Reasoning?

Oct 15, 2025

Author’s Corner: First-Person Account of Exploring Automated Clinical Concordance

Sep 24, 2025

Latest Research

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Our research focuses on how clinical AI should be evaluated, trusted, and used in real care.

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Journal of General Internal MedicineJan 21, 2026

Holistic evaluation of large language models for medical tasks with MedHELM

Nature MedicineJan 20, 2026

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

The BMJDec 12, 2025

A typology of physician input approaches to using AI chatbots for clinical decision-making

NPJ Digital MedicineDec 5, 2025

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Journal of General Internal MedicineJan 21, 2026

Holistic evaluation of large language models for medical tasks with MedHELM

Nature MedicineJan 20, 2026

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

The BMJDec 12, 2025

A typology of physician input approaches to using AI chatbots for clinical decision-making

NPJ Digital MedicineDec 5, 2025

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Journal of General Internal MedicineJan 21, 2026

Holistic evaluation of large language models for medical tasks with MedHELM

Nature MedicineJan 20, 2026

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

The BMJDec 12, 2025

A typology of physician input approaches to using AI chatbots for clinical decision-making

NPJ Digital MedicineDec 5, 2025

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Get the latest on our studies, grant awards, and media coverage.

Investigators

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We bring together clinicians, researchers, and technical experts to study how AI can be safely and meaningfully integrated into healthcare.

Ethan Goh

Stanford University, Executive Director

Adam Rodman

Harvard University, Site Lead

Jonathan H Chen

Stanford University, Site Lead

Jason Hom

Stanford University

Eric Horvitz

Microsoft, Stanford University

Neera Ahuja

Stanford University

Andrew Parsons

University of Virginia, Site Lead

Andrew Olson

University of Minnesota, Site Lead

Advancing Healthcare AIThrough Open Science Research

Featured Work

State of Clinical AI Report 2026

Do NOHARM Benchmark

Featured Blog Posts

Public Trust Remains The Limiting Factor For AI Adoption In U.S. Healthcare

Author's Corner: Does AI have Superhuman Reasoning?

Author’s Corner: First-Person Account of Exploring Automated Clinical Concordance

Latest Research

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Holistic evaluation of large language models for medical tasks with MedHELM

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

A typology of physician input approaches to using AI chatbots for clinical decision-making

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Holistic evaluation of large language models for medical tasks with MedHELM

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

A typology of physician input approaches to using AI chatbots for clinical decision-making

“I Double Checked It with My Own Knowledge:” Physician Perspectives on the Use of AI Chatbots for Clinical Decision-Making

Holistic evaluation of large language models for medical tasks with MedHELM

Parallel pressures: the common roots of doctor bullshit and large language model hallucinations

A typology of physician input approaches to using AI chatbots for clinical decision-making

Latest News

Stanford’s health AI validation tools you should know about

ARISE Maps the State of Clinical AI

ChatGPT's AI Health-Care Push Has a Fatal Flaw

After FDA’s pivot on clinical AI, we need AI safety research more than ever

AI is uncannily good at diagnosis. Its makers just won’t say so.

OpenEvidence says it’s pursuing ‘medical super-intelligence’

Investigators

Ethan Goh

Adam Rodman

Jonathan H Chen

Jason Hom

Eric Horvitz

Neera Ahuja

Andrew Parsons

Andrew Olson

Advancing Healthcare AI
Through Open Science Research