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­sing Artificial Intelligence to Improve Early Breast Cancer Detection

By MIT News

October 20, 2017

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Researchers at the Massachusetts Institute of Technology's (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on the first project to apply artificial intelligence (AI) to improving the detection and diagnosis of breast cancer.

The researchers developed an AI system that uses machine learning to predict if a high-risk lesion identified by a needle biopsy after a mammogram will upgrade to cancer at surgery.

The researchers tested the system on 335 high-risk lesions, correctly diagnosing 97% of the breast cancers as malignant and reducing the number of benign surgeries by more than 30% compared to existing approaches.

The machine-learning model was trained on more than 600 existing high-risk lesions, and now is able to look for patterns among many different data elements such as demographics, family history, past biopsies, and pathology reports. The model uses a method known as a "random-forest classifier," which results in fewer unnecessary surgeries.

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