Clinical trial for AI-based breast cancer prediction will focus on women with dense breast tissue

A new clinical trial for AI-based breast cancer prediction technology will focus on women with dense breast tissue. Dense tissue makes it harder to find breast cancer on a mammogram and also raises the risk of developing breast cancer.

"Dense breast tissue is super common. It’s in almost half of all women that we screen," said Debbie Bennett, MD, Breast Radiologist at Siteman Cancer Center and the Ronald and Hanna Evens Professor of Women’s Health and Section Chief of Breast Imaging at WashU Medicine in St. Louis.

Bennett is leading an upcoming clinical trial to help advance groundbreaking breast cancer risk prediction technology developed at WashU Medicine by Graham A. Colditz, MD, DrPH, and Shu (Joy) Jiang, PhD.

Harnessing AI, the software is designed to analyze mammograms and improve the accuracy of predicting a woman’s personalized five-year risk of developing breast cancer. The technology received Breakthrough Device designation from the FDA.


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