Medical Xpress May 7, 2025
The most effective way to harness the power of artificial intelligence when screening for breast cancer may be through collaboration with human radiologists—not by wholesale replacing them, says new research co-written by a University of Illinois Urbana-Champaign expert in the intersection of health care and technology.
The study finds that a “delegation” strategy—where AI helps triage low-risk mammograms and flags higher-risk cases for closer inspection by human radiologists—could reduce screening costs by as much as 30% without compromising patient safety.
The findings could help shape how hospitals and clinics integrate AI into their diagnostic workflows amid a growing demand for early breast cancer detection and a shortage of radiologists, said Mehmet Eren Ahsen, a professor of business administration and Deloitte...
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