Inside Precision Medicine April 17, 2024
A retrospective study led by researchers at Washington University School of Medicine in St. Louis and Whiterabbit.ai showed that an artificial intelligence (AI)-based protocol theoretically reduced the number of false positive results from routine mammograms. The study is published in Radiology: Artificial Intelligence.
Acknowledging that many AI-based studies in breast cancer focus on improving breast cancer detection, the team created an algorithm designed to reduce the number of callbacks, biopsies, and, ultimately, false negative results from routine mammograms.
“One of the big concerns in breast imaging is to find more cancers, one also ends up with a lot more false positives, and those false positives can cause a lot of challenges,” explains co-author Richard Wahl, of Washington University. “These challenges...
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