Ethical analysis reveals key requirements for machine learning in healthcare, highlighting algorithmic transparency, data protection, and accountability to build patient and clinician trust.
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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Vayena et al. (2018) studied this question.
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