针对医疗保健中的机器学习和人工智能算法以减少偏见并改善人口健康

Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health

Milbank Quarterly · 2024
被引 6
ABS 3

中文导读

本文讨论了人工智能在医疗保健中的颠覆性创新,强调需要开发者、用户、公众和决策者合作制定国家AI健康战略,以实现五重目标、减少种族偏见并确保透明度和公平性。

Abstract

Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made in governance in the United States and the European Union. It is incumbent on developers, end users, the public, providers, health care systems, and policymakers to collaboratively ensure that we adopt a national AI health strategy that realizes the Quintuple Aim; minimizes race-based medicine; prioritizes transparency, equity, and algorithmic vigilance; and integrates the patient and community voices throughout all aspects of AI development and deployment.

人工智能医疗保健健康公平卫生政策机器学习