Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial

Session Description

This talk will showcase a recent study published in Nature Medicine that demonstrated the effectiveness of AI-guided screening to diagnose left ventricular systolic dysfunction (LVSD) in an obstetric population in Nigeria. This trial found that, in pregnant and postpartum women, AI-guided screening using a digital stethoscope improved the diagnosis of pregnancy-related cardiomyopathy. This study highlights several key advantages of this screening modality, particularly in a low-to-middle-income country such as Nigeria, as well as potential improvements in screening practices and risk stratification that may likely be translated to other settings.

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Speaker

Demilade Adedinsewo, MD, MPH, FACC

Michael Burns, MD, PhD is an Assistant Professor of Anesthesiology and the Director of Informatics and Artificial Intelligence at the University of Michigan. He serves as the Director of the Michigan Medicine Clinical Intelligence Committee and Associate Chief Medical Informatics Officer for Artificial Intelligence. He is the Co-chair the Clinical Intelligence Committee at Michigan Medicine and the Assistant Director for Implementation Operations within Precision Health, leading research, and governance of artificial intelligence (AI) projects. Dr. Burns’ scholarly activities foster advancement of clinical AI tools and supports the development of a clinical AI infrastructure with emphasis on medical analytics, clinical operations, and perioperative healthcare. He utilizes machine learning, natural language processing, and novel data science methods to understand perioperative clinical patterns, studying methods to identify and improve healthcare.

Discussant

David Ouyang, MD

David Ouyang, MD, is a research scientist at the Kaiser Permanente Northern California Division of Research and a non-invasive cardiologist and echocardiographer at Kaiser Permanente Santa Clara Medical Center. Dr. Ouyang’s group works on applications of deep learning, computer vision, and the statistical analysis of large datasets within cardiovascular medicine. His work has been published in Nature, Nature Medicine, NEJM AI, Circulation, JACC, JAMA Cardiology, EHJ, and other venues. He is also a Deputy Editor for New England Journal of Medicine (NEJM) AI.

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