AI Expedites Breast Cancer Diagnosis

Researchers from University of California, San Francisco and University of California, Berkeley have developed and applied an open-source AI model called Mirai to significantly reduce wait times for breast cancer diagnosis. The model, co-developed by Adam Yala>>> and clinically applied by Maggie Chi>>>, triages women with abnormal mammograms, allowing high-risk patients at San Francisco General Hospital>>> to undergo diagnostic evaluations and even biopsies within a single day. This reduces diagnostic wait times from weeks to hours and biopsy waits from months to days, fostering a more personalized and expedited approach to breast cancer care. The study, funded by the United States — National Institutes of Health>>>, was published in Nature Digital Medicine>>>.