AI detects high-risk breast lesions with accuracy

A new machine learning model allows for physicians to determine whether atypical ductal hyperplasia (ADH) could upgrade to cancer, according to new research published in JCO Clinical Cancer Informatics. The model can identify 98 percent of all malignant cases prior to surgery, while sparing 16 percent of women from unnecessary surgeries on benign lesions. ADH is a breast lesion that increases the risk of breast cancer by four- to five-fold. Typically, ADH is found with mammography and its presence confirmed using biopsy. Previous research published in Current Problems in Diagnostic Radiology found that 95 percent of breast imagers recommend surgical removal for all ADH cases discovered during biopsy to establish if the lesion is cancerous.