Evidence map›Paper›PMID 42368305›Full record

ArticleGlobal health & medicine2026

From companion technologies to social care infrastructure: A multi-level perspective on loneliness-related support in dementia care in an era of artificial intelligence (AI).

Machiko Uenishi, Peipei Song

Abstract readLetter
In one paragraph

Article in Global health & 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

2 authors.

Machiko UenishiDivision of Global Health & Medicine, Bureau of Health Emergency and Management, Japan Institute for Health Security, Tokyo, Japan.
Peipei SongDivision of Global Health & Medicine, Bureau of Health Emergency and Management, Japan Institute for Health Security, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatment or episodic social activities alone. Companion technologies, including socially assistive robots, humanoid and conversational robots, avatars, virtual agents, and artificial intelligence (AI)- enabled companions, are increasingly discussed as possible aids for engagement and interaction. However, current evidence does not justify treating these technologies as standalone interventions that directly reduce loneliness in people with dementia. We argue that these technologies may be more appropriately considered not only as devices or interventions, but also as potential components of social care infrastructure: tools that can encourage individual engagement and mediate human relationships but that need to be integrated into care ecosystems. We propose the multi-level care with social technologies (MCST) model, which consists of three connected layers: individual engagement, relational interaction, and the care ecosystem. The model emphasizes that loneliness-related support is produced through the interaction between technology, human facilitation, care workflows, ethical governance, and feedback-based adjustment. This approach is especially relevant as dementia care systems face workforce constraints and an increasing need for home-based care, while psychosocial needs remain and may be overlooked in routine care. AI-enabled and large-language-model-based companions may expand possibilities for personalization and continuous engagement, but dementia-specific evidence remains preliminary and safety concerns are substantial. Future research should validate the MCST model in real-world dementia care and establish evaluation frameworks that address psychosocial outcomes, sustained use, safety, privacy, human oversight, and accountability.

Indexed as

artificial intelligence (AI)companion technologiesdementialoneliness-related distressperspectivesocial care infrastructure

Identifiers

PMID42368305
PMCPMC13306874

What OpenQuestion holds

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Registered trials

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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.