Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.

Machine learning models hold great promise with medical applications, but also give rise to a series of ethical challenges. In this survey we focus on training data, model interpretability and bias and the related issues tied to privacy, autonomy, and health equity.
Competing Interests: Acknowledgments: The authors report no relevant conflicts of interest.
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