| Literature DB >> 30617336 |
Jianxing He1,2, Sally L Baxter3,4,5, Jie Xu6, Jiming Xu7, Xingtao Zhou8, Kang Zhang9,10,11,12.
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.Entities:
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Year: 2019 PMID： 30617336 PMCID： PMC6995276 DOI： 10.1038/s41591-018-0307-0
Source DB: PubMed Journal: Nat Med ISSN： 1078-8956 Impact factor: 53.440