Mehmet Eren Ahsen, an assistant professor who teaches business analytics at Gies College of Business, played a key role in a new game-changing study that combines artificial intelligence (AI) with radiologist readings to reduce false-positive mammogram results. Experts say these errors affect 9.5 percent of the 40 million women who receive routine exams in the US each year.
Artificial intelligence can improve mammogram accuracy, research shows
Apr 1, 2020 Business Administration Faculty Research
Gies Professor Mehmet Eren Ahsen played a key role in a new game-changing study that combines artificial intelligence with radiologist readings to reduce false-positive mammogram results.