Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.
Journal:
North Carolina medical journal
PMID:
39466090
Abstract
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.