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RSNA Fireside Chat

with Dr. Eliot Siegel

Participants

University of Maryland School of Medicine

Vice Chairman, Department of Diagnostic Radiology

Dr. Eliot Siegel

Dr. Eliot Siegel is Professor and Vice Chair at the University of Maryland School of Medicine, Department of Diagnostic Radiology, as well as Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Healthcare System.  He is the director of the Maryland Imaging Research Technologies Laboratory and has adjunct appointments as Professor of Bioengineering at the University of Maryland College Park and as Professor of Computer Science at the University of Maryland Baltimore County.  Dr. Siegel was responsible for the NCI's National Cancer Image Archive and served as Workspace Lead of the National Cancer Institute's caBIG™ In Vivo Imaging Workspace. He has been named as Radiology Researcher and Radiology Educator of the Year by his peers as well as one of the Top Ten radiologists.

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Dr. Eliot Siegel (Chief of Radiology, VA Maryland Healthcare System) and Dr. Khan Siddiqui (Chief Medical Officer, Hyperfine) discuss low-field and portable MRI and the effect it is having on clinical workflows.

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Dr. Khan Siddiqui

Hyperfine

Chief Medical Officer & Chief Strategy Officer

Dr. Siddiqui has more than 25 years of experience as a radiologist and holds 12 patents for technology in the areas of deep learning, AI, image processing and data visualization, as well as securing patient information handling and health records. His recent research includes large scale studies on the impact of ubiquitous access to health in combination with artificial intelligence and persuasive technologies to improve healthcare outcomes. Khan is passionate about securing and protecting data while also enabling the development of deep learning models to accelerate practical applications of AI in healthcare. Prior to joining Hyperfine in 2019, Khan founded HOPPR, a data and deep learning-as-a-service platform, and Higi, a consumer health technology company. He also served as a physician executive at Microsoft, where he was responsible for platform engineering and machine learning for the health solutions group.