AI-human task-sharing could cut mammography screening costs by up to 30%

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…

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News Source: www.sciencedaily.com

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