What do medical students actually need to know about artificial intelligence?-Reference-Cited by-同舟云学术

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What do medical students actually need to know about artificial intelligence?

Published:2020-06-19 Issue:1 Volume:3 Page:
ISSN:2398-6352
Container-title:npj Digital Medicine
language:en
Short-container-title:npj Digit. Med.

Author:

McCoy Liam G.^ORCID,Nagaraj Sujay^ORCID,Morgado Felipe^ORCID,Harish Vinyas^ORCID,Das Sunit,Celi Leo Anthony^ORCID

Funder

U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://www.nature.com/articles/s41746-020-0294-7.pdf

Reference15 articles.

1. Topol, E. J. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 25, 44–56 (2019).

2. Wartman, S. A. The empirical challenge of 21st-century medical education. Academic Med. 94, 1412–1415 (2019).

3. Adamson, A. S. & Smith, A. Machine learning and health care disparities in dermatology. JAMA Dermatol 154, 1247–1248 (2018).

4. Parikh, R. B., Teeple, S. & Navathe, A. S. Addressing bias in artificial intelligence in health care. JAMA. http://jamanetwork.com/journals/jama/fullarticle/2756196. (2019)

5. Price, W. N. & Cohen, I. G. Privacy in the age of medical big data. Nat. Med. 25, 37–43 (2019).

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