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Architecting AI: Rethinking Medical Imaging

The way forward in medical imaging will be driven by artificial intelligence, machine learning and deep learning turning raw data into more useful and actionable information. Machines will “see” and predict problems where humans cannot. The Department of Radiology at the University of Wisconsin School of Medicine and Public Health is well known as an innovator in medical imaging research and leader in clinical excellence. So listen in to hear about what’s lurking in the labs at UW – and lurching forward – that will make medical imaging better, stronger, faster and even more cost-efficient.

We asked the questions you want to: Why is imaging ripe for AI? How will improvements in image processing and reconstruction, quality control and work list prioritization improve the practice of radiology? Where will AI drive down hospital readmissions and enhance screening? What do radiologists and informaticists need to know about their changing roles? And how should health systems be ramping up today for the data and infrastructure needs of tomorrow’s medicine?

 
2019-02-14T13:30:00.000+05:30

Gary Wendt

MD, MBA, Enterprise Director of Medical Imaging and Vice Chair of Informatics

Richard Bruce

MD, Medical Director of Radiology Informatics

John Garrett

MD, Medical Director of Radiology Informatics
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