<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Brown KE</submitter><funding>NLM NIH HHS</funding><funding>NIH HHS</funding><pagination>509-520</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12844595</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>33(2)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers in the US. There are concerns, however, that the promise of AI may not be realized in rural communities. This scoping review aims to determine the extent of AI research in the rural US.&lt;h4>Materials and methods&lt;/h4>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, 2025. Studies were required to discuss the development, implementation, or evaluation of AI tools in rural US healthcare, including frameworks that help facilitate AI development (eg, data warehouses).&lt;h4>Results&lt;/h4>Our search strategy found 26 studies meeting inclusion </pubmed_abstract><journal>Journal of the American Medical Informatics Association : JAMIA</journal><pubmed_title>Gaps in artificial intelligence research for rural health in the United States: a scoping review.</pubmed_title><pmcid>PMC12844595</pmcid><funding_grant_id>T15 LM007450</funding_grant_id><funding_grant_id>T15LM007450</funding_grant_id><pubmed_authors>Brown KE</pubmed_authors><pubmed_authors>Davis SE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Gaps in artificial intelligence research for rural health in the United States: a scoping review.</name><description>&lt;h4>Objective&lt;/h4>Artificial intelligence (AI) has impacted healthcare at urban and academic medical centers in the US. There are concerns, however, that the promise of AI may not be realized in rural communities. This scoping review aims to determine the extent of AI research in the rural US.&lt;h4>Materials and methods&lt;/h4>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, 2025. Studies were required to discuss the development, implementation, or evaluation of AI tools in rural US healthcare, including frameworks that help facilitate AI development (eg, data warehouses).&lt;h4>Results&lt;/h4>Our search strategy found 26 studies meeting inclusion </description><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Feb</publication><modification>2026-06-09T07:23:28.01Z</modification><creation>2026-06-09T03:11:43.36Z</creation></dates><accession>S-EPMC12844595</accession><cross_references><pubmed>41285144</pubmed><doi>10.1093/jamia/ocaf206</doi></cross_references></HashMap>