Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health
Copyright policy )Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health
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.
- The Ohio State University United States
- National Institutes of Health United States
- Rutgers, The State University of New Jersey United States
- National Institute on Minority Health and Health Disparities United States
- University of California, Merced United States
Machine Learning, Population Health, Bias, Artificial Intelligence, Perspective, Humans, Delivery of Health Care, United States, Algorithms
Machine Learning, Population Health, Bias, Artificial Intelligence, Perspective, Humans, Delivery of Health Care, United States, Algorithms
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