Artificial intelligence could prevent breast cancer false positives: Here’s how

[Image from maf04 on Flickr]

Artificial intelligence could improve detection and diagnosis of breast cancer and eliminate false positives, according to new research out of the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory (CSAIL).

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.

Get the full story on our sister site, Medical Design & Outsourcing.

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