Evidence map›Paper›PMID 42597203›Full record

ArticleFrontiers in digital health2026

Symbiotic AI and equitable digital health: toward trustworthy and inclusive health ecosystems.

Rune Johan Krumsvik, Vegard Slettvoll

Abstract read
In one paragraph

Article in Frontiers in digital 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

2 authors.

Rune Johan KrumsvikFaculty of Psychology, University of Bergen, Bergen, Norway.
Vegard SlettvollFaculty of Medicine, University of Bergen, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health has accelerated rapidly through advances in telemedicine, wearable technologies, artificial intelligence (AI), remote monitoring, and interoperable healthcare infrastructures. Despite these developments, substantial inequities persist among underserved populations, including rural and remote communities, older adults, low-socioeconomic groups, and geographically isolated populations exposed to infrastructure disruptions caused by avalanches, landslides, storms, flooding, or prolonged power outages. Current digital health approaches frequently emphasize technological innovation and connectivity while underestimating the importance of trust, contextual adaptation, resilience, health literacy, and human guidance. This

Indexed as

digital health equityhealth empowermentimplementation scienceresilient health ecosystemsrural healthcaresymbiotic AItelemedicinetrustworthy AI

Identifiers

PMID42597203
PMCPMC13467984

What Socratic holds

Textmetadata
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 Socratic graph.