News & Announcements
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from the Division
Division Chief Dr. Mark Musen awarded $20 Million for National AI-Enabled Cloud Laboratory Network
Stanford researchers have received $20 million as part of a new $400 million national initiative to build a network of AI-enabled, remotely operated laboratories. Led at Stanford by Mark Musen (pictured), the four-year project brings together collaborators from Purdue University, Morehouse College, and Emerald Cloud Lab to advance automated scientific experimentation. The Stanford team will also develop shared standards that will allow researchers to exchange cloud-lab specifications across the broader network of 20 awardees. The initiative is a core National Science Foundation contribution to the federal Genesis Mission, which seeks to harness AI to accelerate scientific discovery.
Latest News
from the Division
Big Ideas from Stanford Health AI Week
Speakers from academia, industry, government and nonprofits explored developing and implementing artificial intelligence in medicine responsibly, effectively and reliably.
Division & Research News
The $1 Trillion Problem AI Still Can’t Yet Solve
The invisible layer of healthcare, known as the administrative spending, costs the United States more than $1 trillion every year. Almost 25 cents of every dollar in healthcare. Despite all the excitement around AI, administrative spending remains largely untouched.
*Artwork courtesy of Jennie Ellison*
AI Translation in Healthcare: An Urgent Call For Evidence-Informed Policy Frameworks
In a new BMJ perspective, researchers Chuk Anyaegbuna, Natasha Steele, April Shichu Liang, Stephen Ma, Ivan Lopez, Nymisha Chilukuri, Kavita Patel, Kevin Schulman, & Jonathan Chen warn that AI translation tools are rapidly entering healthcare without adequate oversight — raising risks of uneven performance across languages and widening health disparities.
The Inverse Care Law in the Age of AI – Geographic Disparities in Health Care Technology Access
A new paper in NEJM AI highlights how AI may unintentionally deepen existing health disparities. First author Yeon-Mi Hwang, alongside senior author Tina Hernandez-Boussard, examines how rural communities — despite facing greater health burdens — have less access to the infrastructure needed to implement AI-driven care.
From AI Tool to Clinical Teammate
A new study led by Selin Everett, with senior authors Jonathan Chen & Eric Horvitz, explores how rethinking human-AI collaboration can improve clinical decision-making. Published in Nature Digital Medicine, the multicenter randomized controlled trial found that when physicians and AI reason independently and then combine their perspectives, diagnostic accuracy significantly improves.
Jonathan Chen on AI in Medicine: Promise, Pitfalls, and Practice
Jonathan Chen, MD, PhD, clinician, AI researcher, and Associate Professor at Stanford, whose work focuses on combining human and artificial intelligence to improve clinical decision-making. Dr. Chen reflects on the rapid rise of AI in medicine, and the moment he realized everything had changed. He also walks through surprising findings from his research, including studies showing that AI alone can sometimes outperform doctors using AI tools.
AI and the Future of Asian Health: Advancing Precision Medicine Through Human Insight and Technology
In this kickoff session, Dr. Jonathan H. Chen examines how human expertise and AI work together to improve diagnosis, prevention, and treatment—particularly in tackling health disparities, cultural nuances, and underrepresentation in data that impact Asian communities. He also emphasizes the importance of preserving empathy and human understanding at the core of patient care. Drawing on his experience as both a physician and biomedical informatics scientist, Dr. Chen shares how AI is making healthcare more efficient, personalized, and data-driven.
How a Winding Path Led to a Life-Saving Test
From uncertainty to impact, Purvesh Khatri’s career path was anything but straight. In this episode, he shares how curiosity and a willingness to pivot led to a breakthrough blood test that helps doctors make faster, life-saving decisions for sepsis.
Turning AI Promise into Real-World Practice
In conference rooms and clinics across the country, leaders are asking the same question: How do we move from excitement about artificial intelligence to systems that actually work — safely, responsibly, and at scale? At the Stanford Division of Computational Medicine, a new program aims to answer that question.
The Power of Research: How Discoveries Translate into Better Health
The latest issue of Stanford Medicine Magazine explores how discoveries move from the lab to lasting impact in patient care. We’re proud to share that several members of our DoM community are featured in this issue, including Alan Pao, Purvesh Khatri, Victoria Parikh, Crystal Mackall, Seung Kim, and more.
Uses of Generative AI by Non-Clinician Staff at an Academic Medical Center
A new study in npj Health Systems authored by Kameron Black, Stephen Ma, Hanna Kiani, Aditya Bhasin, Jonathan Chen, Nigam Shah, & colleagues, examines how non-clinician staff are using generative AI tools in real-world healthcare settings.