Evidence map›Paper›PMID 40977788›Full record

ReviewFrontiers in public health2025

Adolescent mental health in rural settings: the role of artificial intelligence and community engagement.

Sarah Grenon, Khanh N Hoang, Si Luo, Amie Koch

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sarah GrenonSchool of Nursing, Duke University, Durham, NC, United States.
Khanh N HoangSchool of Nursing, Duke University, Durham, NC, United States.
Si LuoSchool of Nursing, Duke University, Durham, NC, United States.
Amie KochSchool of Nursing, Duke University, Durham, NC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescents in rural communities face persistent mental health disparities due to provider shortages, social isolation, and stigma. Traditional care models remain insufficient. This perspective explores how artificial intelligence (AI) tools combined with community engagement strategies can enhance adolescent mental health support in underserved settings. A targeted literature review identified best practices and innovative models that integrate AI in culturally relevant ways. Findings highlight the importance of trusted community partnerships and digital literacy, particularly prompt literacy, in ensuring safe and effective AI use. Nurses are uniquely positioned to lead these efforts, promoting health equity and digital inclusion through community-based, AI-enabled interventions.

Indexed as

Artificial IntelligenceCommunity ParticipationMental HealthRural PopulationAdolescentHumansadolescentsartificial intelligencecommunity engagementmental healthrural health

Identifiers

PMID40977788
PMCPMC12443696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.