Work

Digital pathways connecting social and biological factors to health outcomes and equity

Year: 2025

Type: article

Abstract: Digital pathways extend conventional connections between social and biological factors and health outcomes, significantly influencing health equity. Data representation bias and distribution shifts are key mechanisms through which determinants of health impact generalizability of artificial intelligence (AI) models and subsequently affect health outcomes and equity. These mechanisms provide critical targets for algorithmic interventions, which can lead to Pareto improvements in AI model performance across diverse populations, thereby mitigating health disparities.

Source: npj Digital Medicine

DOI: 10.1038/s41746-025-01564-8

Author: Yan Cui

Institution: University of Tennessee Health Science Center

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: gold

Estimated APC paid: $4,090