In a paper in the journal Nature Communications, a team of researchers reports the creation of an AI test that predicts the risk of breast cancer recurrence, one that does so more quickly and inexpensively than current methods, which involve genomic testing.

“Breast cancer is not a single disease, and decisions about how aggressively to treat it are often difficult,” explains Krzysztof J. Geras, a visiting scholar at NYU’s Center for Data Science and an adjunct assistant professor at NYU Grossman School of Medicine, who led the work. “This research shows that an AI test can read the same tumor slides pathologists already examine and, combined with basic clinical details, accurately estimate how likely a patient’s cancer is to return.”