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