Guest Editorial: Building Consensus for Responsible AI in Healthcare
In a guest editorial for the American Journal of Bioethics, the Duke Health AI Evaluation & Governance Program team, in collaboration with colleagues from Stanford University, Harvard
Article: Targeted Postmarket Surveillance - The Way Toward Responsible AI Innovation in Health Care
In a recent paper published by the Paragon Health Institute, Duke Health's Chief Data Scientist Michael Pencina
Duke Health AI E&G at EKAPTY SA Conference in Athens, Greece
Duke Health AI Evaluation & Governance Program Director, Nicoleta Economou, PhD, delivered the keynote on Thursday, September 18, at the National Evaluation Center of Quality & Technology i
SAS On-Demand Webinar: Agentic AI, Generative AI and AI Governance
Duke Health AI Evaluation & Governance Program Director Nicoleta Economou, PhD, joined other AI leaders on a SAS-hosted webinar exploring how agentic AI, generative AI, and AI governance are re
WUNC Highlights Duke Health’s Leadership in Advancing Safe and Accountable AI in Healthcare
North Carolina Public Radio-WUNC's Bianca Garcia reports on Duke University Health System's national leadership in health AI governance, spotlighting two new evaluation frameworks developed by Duke
Axios Spotlights Duke Team’s Breakthrough Frameworks for Evaluating Clinical AI Safety and Reliability
Axios reports on how a team of Duke researchers led by Chief Data Scientist Michael Pencina, PhD, have developed two important evaluation frameworks to assess the safety, accuracy, and reliability
Duke University Sets New National Standard for Safe, Scalable AI in Health Care
Duke University School of Medicine researchers, led by Dr. Michael Pencina and Dr.
In JAMA: Bridging the Gap Between Developers and Implementers in Health AI
A new Viewpoint in JAMA Health Forum by Duke’s Michael Pencina, Mark