Pictured, left to right, are: Manisha Bahl, Director of the Massachusetts General Hospital Breast Imaging Fellowship Program; MIT Professor Regina Barzilay (center); and Constance Lehman, Professor at Harvard Medical School and chief of the Breast Imaging Division at MGH’s Department of Radiology. Image: Jason Dorfman/CSAIL
Scientists at MIT’s Computer Science and Artificial Intelligence Laboratory have developed a machine learning AI system that is able diagnose patients with breast cancer 97% of the time.
At present, screening for breast cancer in the public involves a mammogram and, when abnormal cells are identified, a needle biopsy is the next stage. If the lesions are identified as “high-risk” then the usual routine option is to undergo surgery to remove the cells.