Women with abnormal mammograms often have to wait for weeks to find out whether they have breast cancer. Now, researchers at UC San Francisco and UC Berkeley have found a way to help reduce the wait and the worry by using AI to quickly identify those who are most likely to have the disease. By triaging these patients, the AI-guided workflow takes women with abnormal scans through the diagnostic process—from imaging to evaluation and sometimes even biopsy—in a single day.

“This is really an exciting time,” said Maggie Chung, MD, the first author of the study published in npj Digital Medicine. “This moves us closer to personalized care, where we can tailor a plan so that each patient gets the right intervention at the right time.”