Machine learning in medicine: Addressing ethical challenges

Effy Vayena, Alessandro Blasimme and I Glenn Cohen

PLOS Medicine, 2018, vol. 15, issue 11, 1-4

Abstract: Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689 (text/html)
https://journals.plos.org/plosmedicine/article/fil ... 02689&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1002689

DOI: 10.1371/journal.pmed.1002689

Access Statistics for this article

More articles in PLOS Medicine from Public Library of Science
Bibliographic data for series maintained by plosmedicine (plosmedicine@plos.org).