AI in Medical Imaging: The Road from Idea to Impact
Have you ever wondered what it takes to develop commercial AI software in radiology, from conception to the clinic? In this session, we ask industry experts to provide insight into the application development lifecycle, from initial market analysis, business strategy, new technology R&D, FDA regulation, and clinical deployment. Importantly, what are the major factors that influence the final products available to radiologists today, and what does the future hold? In addition, we invite each vendor to discuss areas of exciting innovation, from cutting-edge machine learning methods to creative, unique, and impactful clinical applications.
Objectives
Identify key factors that guide development of AI algorithms in radiology
Discuss the current limitations in realizing the full potential of commercial AI software
Forecast key future trends and highlight areas of active investment among major AI vendors in medical imaging
Speakers
Peter D. Chang, MD
Associate Professor, Radiological Sciences and Computer Science, University of California, Irvine
Director, UCI Center for AI in Diagnostic Medicine
Dawn Cram, CIIP
Product Manager
PaxeraHealth
Ankur Sharma, MD
Head of Medical Affairs Medical Devices & Digital Radiology
Bayer
Eliot Siegel, MD, FSIIM
Professor of Radiology, University of Maryland School of Medicine
Chief, Imaging Services, VA Maryland Health Care System
