Video from RSNA 2017: How will AI change radiology?

Nov 27, 2017

The past year has witnessed huge advances in the development of artificial intelligence (AI) for healthcare applications. What impact will this new generation of AI software have on radiology? Dr. Paul Chang of the University of Chicago offers his thoughts in this interview.

Paul Chang, MD Interview

Plain chest radiograph showing overlay from Critical Care Suite, with segmentation of ETT, identification of tube tip and carina, and calculation of distance between them.

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A commercially available AI tool was especially useful for identifying critically misplaced tubes.

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Investment supports CARE Foundation Model and enterprise infrastructure for health systems deploying clinical AI at scale.

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