Video from GTC 2019: Dr. Paul Chang gives a reality check to AI in radiology

Mar 19, 2019
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SAN JOSE, CA - Does radiology need a reality check when it comes to artificial intelligence (AI)? In a talk at this week's Nvidia GPU Technology Conference (GTC 2019), Dr. Paul Chang of the University of Chicago raised just that question, proposing that workflow in healthcare must be fixed before AI can reach its full potential.

Dr. Paul Chang from the University of Chicago.

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Full-field digital screening mammograms in participants recalled by the consensus discussion after being flagged by artificial intelligence (AI) computer-aided detection (CAD) but not by either of the two radiologists. (A) Mammogram with AI CAD score of 73 for a 55-year-old woman diagnosed with grade 3 in situ cancer and T1 (9-mm) invasive cancer in the left breast and lymph node metastasis. (B) Mammogram with AI CAD score of 54 for a 49-year-old woman diagnosed with grade 2 in situ cancer and T1 (6-mm) invasive cancer in the right breast and without lymph node metastasis. All images and caption courtesy of the RSNA.
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