New machine learning method allows hospitals to share patient data privately

New machine learning method allows hospitals to share patient data privately

Press releases may be edited for formatting or style | July 30, 2020 Artificial Intelligence Health IT


Study co-author Rivka Colen, MD, an associate professor of Radiology at the University of Pittsburgh School of Medicine, said that this paper and the larger federated learning project open up possibilities for even more uses of Artificial Intelligence in health care.


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“I think it’s a huge game changer,” Colen said. “Radiomics is to radiology what genomics was to pathology. AI will revolutionize this field, because, right now, as a radiologist, most of what we do is descriptive. With deep learning, we’re able to extract information that is hidden in this layer of digitized images.”

Additional authors on this paper include: Micah J Sheller, Brandon Edwards G Anthony Reina, Jason Martin, Aikaterini Kotrotsou, Mikhail Milchenko, Weilin Xu, and Daniel Marcus.

This research was partly supported by the National Institutes of Health (NIH) under award numbers NCI:U01CA242871, NINDS:R01NS042645, NCI:U24CA189523 NCI:U24CA204854, and UPMC CCSG P30 CA047904.

TOPIC: Innovation
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The Perelman School of Medicine has been ranked among the top medical schools in the United States for more than 20 years, according to U.S. News & World Report's survey of research-oriented medical schools. The School is consistently among the nation's top recipients of funding from the National Institutes of Health, with $494 million awarded in the 2019 fiscal year.

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Penn Medicine is powered by a talented and dedicated workforce of more than 43,900 people. The organization also has alliances with top community health systems across both Southeastern Pennsylvania and Southern New Jersey, creating more options for patients no matter where they live.

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