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    GTC Silicon Valley-2019 ID:S9784:AI and Machine Learning in Radiology: A Reality Check

    Paul Chang(University of Chicago School of Medicine)
    Get a realistic perspective on how machine learning and artificial intelligence can add value to radiology. We'll review the significant challenges involved in implementing and integrating machine learning/artificial intelligence into radiology's existing workflow and IT infrastructure. We'll also discuss strategies for preparing the radiology department and IT for machine learning/artificial intelligence.

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