Artificial Intelligence and Health Equity.

Abstract

Artificial intelligence (AI) is transforming biomedical research, public health, and clinical care by offering opportunities to improve outcomes and advance health equity. Its promise stems from its ability to analyze complex health data to inform prevention, diagnosis, and treatment. However, concerns are growing that AI may worsen disparities, especially for racial and ethnic minorities, individuals with disabilities, and low-income populations, who often face a higher disease burden. Biased or incomplete data can result in inequitable outcomes. This review highlights strategies for equitable health AI, including applying an equity lens throughout the AI life cycle and meaningfully engaging the communities most affected to ensure that AI enhances outcomes for everyone.