Machine learning in medicine: Addressing ethical challenges.

Journal: PLoS medicine
PMID: 30399149

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.

Authors

  • Effy Vayena
    Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
  • Alessandro Blasimme
    Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
  • I Glenn Cohen
    Harvard Law School, Cambridge, Massachusetts, United States of America.

Keywords

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