AI can detect breast cancer risk before humans. Why it may take hospitals a while to adopt the tech

Source Domain: www.wbur.org

The article describes how a machine learning-powered AI risk detection tool is being used in Massachusetts to identify patients at high risk for breast cancer by analyzing mammogram images.
The AI algorithm can detect subtle details in the mammograms that humans typically miss, which can indicate a likelihood of developing breast cancer in the next five years.
The tool was developed by Regina Barzilay, a professor of electrical engineering and computer science at MIT, who was inspired to create the technology after being diagnosed with breast cancer herself.
Studies show that the AI algorithm can detect three times as many cancers among women flagged as high risk compared to traditional risk calculation methods.
Despite its promising results, widespread adoption of the technology is hindered by high costs, technical challenges, and the need for insurance coverage.
There is a growing push to expand access to these AI tools and reduce costs, with some national cancer organizations updating guidelines to include AI in breast cancer screenings.
Experts envision a future where AI enables personalized cancer prevention strategies, making early detection and preventative measures more accessible.

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