The application of artificial intelligence and machine learning (ML) technologies in
healthcare have immense potential to improve the care of patients. While there are some …

Along with potential benefits to healthcare delivery, machine learning healthcare
applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs …

The use of machine learning (ML) in healthcare raises numerous ethical concerns,
especially as models can amplify existing health inequities. Here, we outline ethical …

Implementing Machine Learning in Health Care We need to consider the ethical challenges
inherent in implementing machine learning in health care if its benefits are to be realized …

The problem of algorithmic bias represents an ethical threat to the fair treatment of patients
when their care involves machine learning (ML) models informing clinical decision-making …

The application of Machine Learning (ML) in healthcare has opened unprecedented
avenues for predictive analytics, diagnostics, and personalized medicine. However, the …

Artificial intelligence and machine learning have the potential to revolutionize the delivery of
health care. But designing machine learning‐based decision support systems is not a …

We argue why interpretability should have primacy alongside empiricism for several
reasons: first, if machine learning (ML) models are beginning to render some of the high-risk …

Clinical research underlies ethical integration of healthcare artificial intelligence | Nature
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Machine learning in medicine: Addressing ethical challenges | PLOS Medicine Skip to main
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