A study from Yale School of Medicine suggests that biased artificial intelligence can significantly influence clinical results. The research, which focuses on various stages of AI model development, shows that issues with data integrity can have an impact on health equity and the quality of care. It indicates that bias could appear in many parts of the algorithm development process and emphasizes the importance of mitigation strategies.
Senators Propose Bipartisan Health Care Cybersecurity & Resiliency Act
Senators have put forward the bipartisan Health Care Cybersecurity and Resiliency Act.
