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Dataset Information

Gaps in Artificial Intelligence Research for Rural Health in the United States: A Scoping Review.


ABSTRACT:

Background

Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers globally. The current focus on AI deployments in urban areas and the history of US urban-rural digital divides raises concerns that the promise of AI may not be realized in rural communities. This may exacerbate well-documented health disparities. Without the benefits of AI-driven improvements in patient outcomes and increased efficiency, rural healthcare facilities may fall farther behind their urban counterparts and rural hospital closure rates may continue to rise.

Methods

We conducted a scoping review following the PRISMA guidelines. We included peer-reviewed, original research studies indexed in PubMed, Embase, and WebOfScience after January 1, 2010 and through April 29

SUBMITTER: Brown KE 

PROVIDER: S-EPMC12262758 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature