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 |
| Summary: | 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. |
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| ISSN: | 1549-1277 1549-1676 |