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
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Images of a 39-year-old who underwent screening mammography. Right craniocaudal (left) and mediolateral oblique (middle) views from preoperative mammography show suspicious grouped fine pleomorphic calcifications (arrows). After biopsy showed ductal carcinoma of situ (DCIS), patient underwent breast-conserving surgery, yielding final diagnosis of ductal carcinoma in situ (intermediate grade, hormone receptor positive). (Right) Screenshot of an output of a commercial AI tool applied to preoperative mammography. AI detected right breast lesion with score of 95% on both views (concentric colored circles). Present study’s reviewing radiologist deemed AI marking to correspond with site of DCIS.
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