The practical implementation of artificial intelligence technologies in medicine.

Journal: Nature medicine
PMID: 30617336

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.

Authors

  • Jianxing He
    Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, China.
  • Sally L Baxter
    Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla.
  • Jie Xu
    Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310000, China.
  • Jiming Xu
    Yidu Cloud Technology Inc., Beijing, China.
  • Xingtao Zhou
    Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
  • Kang Zhang
    Xifeng District People's Hospital, Qingyang, China.

Keywords

External Resources

Popular Topics
Recent Journals