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Artificial intelligence powers digital medicine

Published:2018-03-14 Issue:1 Volume:1 Page:
ISSN:2398-6352
Container-title:npj Digital Medicine
language:en
Short-container-title:npj Digital Med

Author:

Fogel Alexander L.,Kvedar Joseph C.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)

Link

http://www.nature.com/articles/s41746-017-0012-2.pdf

Reference24 articles.

1. Stanford University. One Hundred Year Study onArtificial Intelligence. Online (2015).

2. Darcy, A. M., Louie, A. K. & Roberts, L. W. Machine learning and the profession of medicine. JAMA 315, 551 (2016).

3. Grace, K., Salvatier, J., Dafoe, A., Zhang, B. & Evans, O. When will AI exceed human performance? Evidence from AI experts. arXiv. Online. (2017).

4. Abbo, E. D., Zhang, Q., Zelder, M. & Huang, E. S. The increasing number of clinical items addressed during the time of adult primary care visits. J. Gen. Intern. Med. 23, 2058–2065 (2008).

5. Annals of Medicine & Www Annfammed Tethered to the EHR: primary care physician work-load assessment using EHR event log data and time-motion observations. Ann. Fam. Med. 1515, 419–426 (2017).

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