News & Announcements
Featured News
from the Division
Stanford Professor: How LLMs Influence Medical Diagnosis | Prof. Jonathan Chen
Dr. Jonathan Chen discusses startling research showing that AI can sometimes outperform doctors even when they are equipped with AI tools, challenging traditional “human-in-the-loop” assumptions. He explores the transition from AI as a tool to an active teammate, while warning against risks like anchoring bias and the 10–20% rate of harmful recommendations in current models. From his “ChatEHR” project to the challenges of AI in medical education, Chen envisions a future where automation and human judgment must be carefully balanced.
Latest News
from the Division
Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries
A new JAMA Network Open study found that an AI-powered workflow for generating hospital discharge summaries was associated with reduced physician burnout and minimal reported safety risk during real-world clinical deployment. Authored by colleagues across DoM’s Divisions of Hospital Medicine and Computational Medicine, the Clinical Excellence Research Center, and Stanford colleagues.
Division & Research News
KGC 2025 Lifetime Achievement Awarded to Dr. Mark Musen
Division Chief Dr. Mark Musen received the Knowledge Graph Conference 2025 Lifetime Achievement Award in New York for outstanding contributions to the field of knowledge engineering (pictured receiving the award from Prof. Deborah McGuiness of Rensselaer Polytechnic Institute. Congratulations to the Division Chief.
Holistic Evaluation of Large Language Models for Medical Applications
Medical and AI experts build a benchmark for evaluation of LLMs grounded in real-world healthcare needs. The effort features contributions from Computational Medicine faculty Dr. Jonathan Chen and Dr. Nigam Shah and their labs.
Revolutionizing Cancer Diagnosis with SEQUOIA
In this episode, host Rebecca Handler sits down with Computational Medicine faculty member Olivier Gevaert, PhD, to discuss SEQUOIA, a groundbreaking AI tool with the potential to cut costs, save time, and improve health outcomes for cancer patients.
FDA Clearance for TriVerity
Computational Medicine faculty member Dr. Purvesh Khatri and his team, in collaborator Dr. Tim Sweeney successfully got FDA clearance for TriVerity after years of work. TriVerity is a blood based test based on signatures for presence, type, and severity of infection that enables translation from computation analysis to clinical care.
Center for Human Systems Immunology Receives $18.6 Million for Global Immunology Challenges
The Stanford Center for Human Systems Immunology has received a total of $18.6 million in grants from the Bill & Melinda Gates Foundation to tackle some of the world’s biggest infectious disease challenges. Computational Medicine faculty Dr. Purvesh Khatri receives $1.8 million over the next 3 years to build foundational models for human immunology.