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This session will address the role of computer-aided diagnosis and machine learning in the practice of radiology. The debate format will address the question of whether computers will replace radiologists in 20 years. The session will include information on state-of-the-art machine learning methods, computer-aided diagnosis results, and prognostications on these tools. Impediments to computers replacing radiologists will also be described.
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BIOS:
Dr. Eliot Siegel is Professor and Vice Chair of Research Information Systems 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, both in Baltimore, MDMaryland. He 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 campus. Dr. Siegel has also served as imaging informatics consultant to the National Cancer Institute.
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Speakers: Eliot Siegel, M.D., and Brad Erickson, M.D., Ph.D.
Date: Wednesday, May 24, 2017
Time: 11 AM – 12 PM ET
WebEx: https://cbiit.webex.com/cbiit/onstage/g.php?MTID=eea2aebbe97f8c527fb5d7e90b10ff824
Event Number: 733 793 052
Event Password: $Peakerseries17
Room: 2W910-912
You are invited to listen to Drs. Siegel and Erickson's presentation in the NCI Shady Grove Building on Medical Center Drive or via WebEx.
Presentation: A screen cast of the presentation will be available for viewing after the event on the NCI CBIIT Speaker Series YouTube Playlist 
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About the NCI CBIIT Speaker Series:
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