Dr. Yiadom is an Associate Professor of Emergency Medicine at Stanford University, leader, and researcher with expertise in clinical operations, care delivery, and strategic care delivery re-engineering.

Maame Yaa (Maya) Yiadom, MD and a team of emergency medicine physician-researchers tested an AI model against human practice in identifying patients with acute coronary syndrome (ACS). Their findings emphasize the disparities in age-based ACS screening and highlight the delicate interplay between human expertise and AI algorithms in the pursuit ...

Associate Professor of Emergency Medicine, Director of Precision Analytics and Data Integration, Stanford School of Medicine. Dr. Yiadom is an Associate Professor of Emergency Medicine at Stanford University and researcher with expertise in emergency care clinical operations and timely emergency care delivery.

Meet our team lead by Principal Investigator Maame Yaa "Maya" Yiadom, MD, MPH, MSCI.

2024年8月14日 · Dr. Maame Yaa Yiadom, Associate Professor in the Department of Emergency Medicine at Stanford University, is featured in Africa News Analysis on her presentation on Stanford Medicine’s Virtual Visit Track for Emergency Department Visits, at the Digital Medicine Expertise and Applications (DMEA) Conference and Trade Fair in Berlin, Germany.

Dr. Yiadom is a board certified emergency physician and founding director of the ED Operations Study Group. Her primary training was as a health policy analyst in Princeton University’s Woodrow Wilson School of Public and International Affairs.

Associate Professor of Emergency Medicine (Adult Clinical/Academic), Stanford School of Medicine. Sign up to be in the know about CDH news, events, research, and funding opportunities. © Stanford University. Stanford, California 94305.

Vice Chair of Research. What are some of your favorite restaurants? What are some of your favorite social activities? Family 5K runs, beaches, anything involving other people. We moved here through the pandemic.

Maame Yaa “Maya” A. B. Yiadom. SoM/Emergency Medicine. 2022 RREJ Award Winner. We are developing a predictive model suited for emergency clinical care, that incorporates risk differences associated with race, to achieve algorithmic equity over structured racism within current diagnostic practice. Our work will help us better understand this ...