Michael William Sjoding, MD, MSc

Dr. Michael Sjoding’s research spans critical care epidemiology, health services research, translational science, and artificial intelligence. Using routinely collected electronic health records and imaging data, his work aims to improve diagnosis, care delivery, and outcomes for critically ill patients and patients with pulmonary disease. He led seminal investigations uncovering racial bias in pulse oximetry accuracy, work that transformed national understanding of device equity and patient safety and helped spur new U. S. Food and Drug Administration guidance on pulse oximeter pre-market evaluation. More broadly, his research has advanced the use of artificial intelligence in pulmonary and critical care medicine, including the development and evaluation of AI tools designed to support clinical diagnosis. He also led influential studies examining how clinicians interact with AI tools and how these tools can impact clinician decision-making.