Evidence map›Paper›PMID 42176020›Full record

ArticleInternational journal of circumpolar health2026

Artificial intelligence/machine learning in Alaska Native healthcare systems: symposium perspectives.

Vanessa Hiratsuka, Angelica Pritchard, Gretchen Day, Timothy Thomas, Kyle Wark, Aliassa Shane, Robert Onders, Tina Hernandez-Boussard, Brian Rice

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of circumpolar health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Vanessa HiratsukaSouthcentral Foundation, University of Alaska Anchorage, Anchorage, USA.ORCID 0000-0002-4234-9441
Angelica PritchardStanford University, Department of Emergency Medicine, Stanford, USA.
Gretchen DayAlaska Native Tribal Health Consortium, Research Services, Anchorage, USA.
Timothy ThomasAlaska Native Tribal Health Consortium, Research Services, Anchorage, USA.
Kyle WarkSouthcentral Foundation, Research Department, Anchorage, USA.
Aliassa ShaneSouthcentral Foundation, Research Department, Anchorage, USA.
Robert OndersManiilaq Association, Health Services, Kotzebue, USA.
Tina Hernandez-BoussardStanford University, Department of Biomedical Data Science, Stanford, USA.
Brian RiceStanford University, Emergency Medicine, Stanford, USA.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Machine Learning Models of Appropriate Medevac Utilization in Rural AlaskaK08MD016445 · NIMHD · STANFORD UNIVERSITY · PI Brian Travis Rice · 2022 to 2026
$832k
NIH HHS OT2 OD032581NIMHD NIH HHS K08 MD016445
6 · The paper itself

Abstract

Artificial intelligence and machine learning (AI/ML) utilisation in Alaska Native and American Indian (AN/AI) healthcare presents an opportunity to address persistent health disparities and improve the well-being of Alaska Native communities. The 2025

Indexed as

Alaska NativesArtificial IntelligenceHealth Services, IndigenousMachine LearningAlaskaHumansAlaska Native peoplesArtificial intelligencecommunity engagementhealth care systemssymposium

Identifiers

PMID42176020
PMCPMC13202658

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.