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Author: Hannah

The Health 202: Artificial intelligence use is growing in the U.S. health-care system

THE PROGNOSIS A Russian supercomputer designed with artificial intelligence in Moscow. (Andrey Rudakov/Bloomberg) The use of artificial intelligence is proliferating in American health care — outpacing the development of government regulation.  From diagnosing patients to policing drug theft in hospitals, AI has crept into nearly every facet of the health-care system, eclipsing the use of…

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    Predictions 2020: What to Expect in AI, ML, RPA Sectors

    At the end of each year, eWEEK likes to post observations from IT thought leaders about what they think we should all expect in the coming year—new products, innovative services, trends to look for and so on. As usual, we’ve published a few of these thus far, but we had some publishing-process snafus in December…

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      The Health 202: Artificial intelligence use is growing in the U.S. health-care system

      THE PROGNOSIS A Russian supercomputer designed with artificial intelligence in Moscow. (Andrey Rudakov/Bloomberg) The use of artificial intelligence is proliferating in American health care — outpacing the development of government regulation.  From diagnosing patients to policing drug theft in hospitals, AI has crept into nearly every facet of the health-care system, eclipsing the use of…

        Read More

        Predictions 2020: What to Expect in AI, ML, RPA Sectors

        At the end of each year, eWEEK likes to post observations from IT thought leaders about what they think we should all expect in the coming year—new products, innovative services, trends to look for and so on. As usual, we’ve published a few of these thus far, but we had some publishing-process snafus in December…

          Read More

          Artificial intelligence and cancer

          Filtered through the analytical power of artificial intelligence, the wealth of available biomedical data promises to revolutionize cancer research, diagnosis and care. In this Viewpoint, six experts discuss some of the challenges, exciting developments and future questions arising at the interface of machine learning and oncology.

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