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Machine learning in medicine: Addressing ethical challenges
745
Zitationen
3
Autoren
2018
Jahr
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.
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