A team of researchers from MIT’s CSAIL, Massachusetts General Hospital and Harvard Medical School developed an AI system with machine learning that can predict if high-risk lesions on needle biopsies found during a mammogram will turn out to be cancerous after surgery.
High-risk lesions that appear on mammograms and have abnormal cells when tested using a needle biopsy often are a cause of false positives in breast cancer. A patient goes through surgery to have the lesion removed, but 90% of the time, the lesion was benign. The researchers are using AI to eliminate that.
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