Beth Israel researchers say AI can lower error rate in breast cancer diagnosis

Please Sign In and use this article’s on page print button to print this article. Property Spotlight: Riverwalk Properties Beth Israel Deaconess Medical Center twp, GNU Free Documentation License Upcoming Events ]]> Doctors who examine images of lymph nodes to diagnose breast cancer get it wrong about one in 25 times. But using an artificial intelligence approach developed at Beth Israel Deaconess Medical Center and Harvard Medical School can reduce that error rate to one in 200, according to a study published Sunday. Andrew Beck is director of bioinformatics at the Cancer Research Institute at Beth Israel and an associate professor at Harvard Medical School. He led the team, which also included post-doctoral fellows Dayong Wang and Humayun Irshad, student Rishab Gargya and Aditya Khosla of the MIT Computer Science…


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