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      The practical implementation of artificial intelligence technologies in medicine

      , , , , ,
      Nature Medicine
      Springer Nature

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          Abstract

          The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world clinical implementation has not yet become a reality. Here we review some of the key practical issues surrounding the implementation of AI into existing clinical workflows, including data sharing and privacy, transparency of algorithms, data standardization, and interoperability across multiple platforms, and concern for patient safety. We summarize the current regulatory environment in the United States and highlight comparisons with other regions in the world, notably Europe and China.

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          Author and article information

          Journal
          Nature Medicine
          Nat Med
          Springer Nature
          1078-8956
          1546-170X
          January 2019
          January 7 2019
          January 2019
          : 25
          : 1
          : 30-36
          Article
          10.1038/s41591-018-0307-0
          6995276
          30617336
          ab630c30-51cd-4ab4-964a-786583dfd19f
          © 2019

          http://www.springer.com/tdm

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