Evidence map›Paper›PMID 42440630›Full record

ArticleFrontiers in medicine2026

Position paper on symbiotic intelligence in healthcare: Can AI help us better understand suicidal behavior and prevent suicide?

Rune Johan Krumsvik, Kjetil Laurits Høydal, Øyvind Arne Høydal

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

3 authors.

Rune Johan KrumsvikFaculty of Psychology, University of Bergen, Bergen, Norway.
Kjetil Laurits HøydalFaculty of Arts and Physical Education, Volda University College, Volda, Norway.
Øyvind Arne HøydalFaculty of Humanities and Education, Volda University College, Volda, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicide is the second leading cause of death among young people aged 10-24 worldwide, yet identifying individuals at risk remains a major challenge. In Norway, suicide rates reached their highest level in 25 years in 2024, underscoring persistent knowledge gaps in national prevention efforts and the need for innovative, interdisciplinary, and supplementary approaches. There are no simple solutions to mental ill health or suicide, and no single factor can adequately explain such complex phenomena; however, it remains crucial to examine how interacting risk factors may increase vulnerability and whether artificial intelligence can help identify emerging risk windows earlier, thereby complementing conventional clinical approaches in this field. The current evidence base suggests a need for increased vigilance in several areas, particularly regarding Gen Z's digital lifestyle, exposure to shock-like societal events, and patterns of alcohol consumption, as these factors may interact in ways that elevate suicide risk. The rapid growth of social media use over the past decade have given both a

Indexed as

alcohol useartificial intelligenceconceptual modelecological momentary assessmentsocial media exposuresuicide preventionsymbiotic intelligencewearable sensors

Identifiers

PMID42440630
PMCPMC13333444

What Socratic holds

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LicenceCC BY
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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.