Artificial Intelligence is getting better than humans at detecting breast cancer

Artificial Intelligence is getting better than humans at detecting breast cancer

A recent study in The Lancet Oncology showed that AI found 20 percent more cancers on mammogram screens than radiologists alone.

The Lancet Oncology

Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.

But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.

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Sarah Watts

Sarah Watts is a health and science writer based in Chicago.

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Patient Dan Chessin met recently in Dr. Lee Ponsky's office at University Hospitals, discussing Chessin's history with prostate cancer.

(University Hospitals of Cleveland)


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Susan Kreimer
Susan Kreimer is a New York-based freelance journalist who has followed the landscape of health care since the late 1990s, initially as a staff reporter for major daily newspapers. She writes about breakthrough studies, personal health, and the business of clinical practice. Raised in the Chicago area, she holds a B.A. in Journalism/Mass Communication and French, with minors in German and Russian, from the University of Iowa and an M.S. from the Columbia University Graduate School of Journalism.
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A security officer in a protective mask checks the temperature of a passenger following the outbreak of a new coronavirus, at an expressway toll station on the eve of the Chinese Lunar New Year celebrations, in Xianning.

(By MARTIN POLLARD / REUTERS)


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Kevin Esvelt
Kevin M. Esvelt is an assistant professor of the MIT Media Lab, where he leads the Sculpting Evolution Group in exploring evolutionary and ecological engineering. The first to identify the potential for CRISPR “gene drive” systems capable of unilaterally altering wild populations of organisms, Esvelt and his colleagues defied scientific tradition by revealing their findings and calling for open discussion and safeguards before they demonstrated the technology in the laboratory. At MIT, the Sculpting Evolution Group develops local “daisy drives” for community-based environmental editing, which may be able to save endangered species and restore populations to their original genetics. Esvelt's work has appeared in major scientific journals, including Nature and Science, and features regularly in popular media, including The New York Times, The New Yorker, and NPR.