Machine learning in medicine: Addressing ethical challenges.
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.
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-11-01
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Series: | PLoS Medicine |
Online Access: | http://europepmc.org/articles/PMC6219763?pdf=render |