Gaps in artificial intelligence research for rural health in the United States: a scoping review

With few studies moving beyond AI model design and development stages, there are clear gaps in our understanding of how to reliably validate, deploy, and sustain AI models in rural settings to advance health in all communities.

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Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2025-11-12
DOI
https://doi.org/10.1093/jamia/ocaf206
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Gaps in artificial intelligence research for rural health in the United States: a scoping review

Sharon E. Davis, Katherine Elizabeth Brown
Journal of the American Medical Informatics Association
Artificial Intelligence in Healthcare and Education
article

Gaps in artificial intelligence research for rural health in the United States: a scoping review

Sharon E. Davis, Katherine Elizabeth Brown
article en

Abstract

With few studies moving beyond AI model design and development stages, there are clear gaps in our understanding of how to reliably validate, deploy, and sustain AI models in rural settings to advance health in all communities.

Journal of the American Medical Informatics AssociationVol. 33(2)
Vanderbilt University Medical Center (US)
National Institutes of Health
Openalex Percentile: Top 70%
Artificial Intelligence in Healthcare and Education
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