AI in Medicine: Avoiding Hype and False Conclusions
AI in Medicine: Avoiding Hype and False Conclusions


With the advance of AI techniques and data to bring modeling into clinical bio-medicine, we will discuss a framework for assessing the maturity and knowledge gaps associated with these technologies. The goal of this presentation is to provide key information concerning the scientific, regulatory, legal, and cultural factors essential for successful introduction of AI in healthcare. We will also arm the audience member with critical methods to avoid false conclusions and exaggerated expectations associated with AI, and we will discuss select real-world examples.


Michael E. Zalis, MD, is Chief of Clinical Solutions and Strategy for One Brave Idea, an incubator focused on care delivery innovation and cardiovascular genomics. He is also a part-time interventional radiologist at Massachusetts General Hospital, where he has been on faculty for many years. At One Brave Idea, he leads efforts to develop software products and clinical solutions, develops business strategy in the areas of cardiovascular genomics and insurance arbitrage, and works to improve operations for chronic disease management and digital phenotyping. Previously, he was a founder and Chief Medical Officer of QPID Health, Inc., a venture-backed medical informatics software company. Dr. Zalis holds a BA in biophysics from the University of Pennsylvania and an MD from the University of Virginia Health Sciences Center. He is a Fellow of the American College of Radiology.

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