Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min UC Davis Health developed a ...

AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs ...