Health Desk: Oct 23, 2017-- US scientists are using artificial intelligence (AI) to predict whether breast lesions identified from a biopsy will turn out to cancerous. 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. “Because diagnostic tools are so inexact, there is an understandable tendency for doctors to over-screen for breast cancer,” said Regina Barzilay, MIT’s Delta Electronics Professor of Electrical Engineering and Computer Science, and a breast cancer survivor herself.
Once operated on, many such lesions turn out to be benign. “To our knowledge, this is the first study to apply machine learning to the task of distinguishing high-risk lesions that need surgery from those that don’t,” said Constance Lehman, professor at Harvard Medical School and chief of the Breast Imaging Division at MGH’s Department of Radiology.
—Courtesy: BBC health