Researchers from the University of Minnesota Medical School, in collaboration with Emory University and the Georgia Institute of Technology, have developed a new artificial intelligence biomarker tool that may help predict how ovarian cancer patients will respond to treatment at the time of diagnosis.
UT Southwestern Medical Center researchers found that most patients support the use of AI to help interpret mammograms as long as radiologists provide oversight in the imaging analysis, although perceptions varied among patient populations.
