Digital pathways connecting social and biological factors to health outcomes and equity.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 40113922.
- Also identified by DOI 10.1038/s41746-025-01564-8 and PMC identifier 11926183.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.