MIT Computer Science and Artificial Intelligence Laboratory

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Artificial Intelligence Achieves Near-Human Performance in Diagnosing Breast Cancer

Press Release | Beth Israel Deaconess Medical Center | June 19, 2016

Human and computer analyses together identify cancer with 99.5% accuracy. Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate...

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When Artificial Intelligence Robots Start Replacing Physicians, Will We Notice -- Or Care?

There's an interesting verbal battle going on between two prominent tech venture capitalists over the future of AI in health care.  In an interview in Vox,  Marc Andreessen asserted that Vinod Khosla "has written all these stories about how doctors are going to go away...And I think he is completely wrong."  Mr. Khosla was quick to respond via Twitter:  "Maybe @pmarca [Mr. Andreessen] should read what I think before assuming what I said about doctors going away." He included a link to his detailed "speculations and musings" on the topic. It turns out that Mr. Khosla believes that AI will take away 80% of physicians' work, but not necessarily 80% of their jobs, leaving them more time to focus on the "human aspects of medical practice such as empathy and ethical choices"...