The machine learning system has been tested on 335 high-risk lesions, and correctly diagnosed 97% as malignant.
It reduced the number of unnecessary surgeries by more than 30%, the scientists said.
One breast cancer specialist said that the research was "useful".
The machine learning system was trained on information about such lesions, the system looks for patterns among a range of data points, such as demographics, family history, biopsies and pathology reports.
