Presented September 6th, 2023 at the APSF Stoelting Conference 2023 on “Emerging Medical Technologies – A Patient Safety Perspective on Wearables, Big Data and Remote Care”
PRESENTATION MATERIALS
Machine Learning & Predictive Analytics – [PDF]
ABOUT THE SPEAKER(S)
Michael Mathis, MD
Michael Mathis, MD
Assistant Professor, Department of Anesthesiology
University of Michigan Medicine
Ann Arbor, MI
Dr. Mathis is a cardiac anesthesiologist and physician scientist at the University of Michigan. He has research interests in improving perioperative care for patients with advanced cardiovascular disease, particularly for patients with heart failure. As part of the Multicenter Perioperative Outcomes Group (MPOG), an consortium of ~50 perioperative databases, he serves as Research Director. He is the PI on an NHLBI K-grant which aims to understand patterns of hemodynamic responses to surgical and anesthetic stimuli captured within anesthesia records as a means for detection of heart failure in early stages. He is also Co-PI on an R01 grant using multicenter MPOG anesthesia data, to improve the prediction of acute kidney injury after cardiac surgery and estimate individualized treatment strategies to mitigate the progression of AKI.