The practical implementation of artificial intelligence technologies in medicine
The practical implementation of artificial intelligence technologies in medicine
复制标题
DOI：
10.1038/s41591-018-0307-0
复制
发表时间：
2019-01-01
期刊：
影响因子：
82.9
通讯作者：
Zhang, Kang
中科院分区：
文献类型：
--
作者：
He, Jianxing;Baxter, Sally L.;Zhang, Kang
基于人工智能（AI）的医学技术发展正在迅速推进，但现实世界的临床实施尚未成为现实。在这里，我们回顾了将人工智能应用到现有临床工作流程中的一些关键实际问题，包括数据共享和隐私、算法的透明度、数据标准化和跨多个平台的互操作性，以及对患者安全的关注。我们总结了美国目前的监管环境，并重点与世界其他地区，特别是欧洲和中国进行了比较。
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.