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Artificial intelligence in dementia care: challenges, controversies, and policy implications
Natalia Vilor-Tejedor, Robert van Vorstenbosch, Tavia E. Evans. Frontiers in Dementia, 2026-04-10
Topic: Risk, prevention and care in population studies
Artificial intelligence (AI) is rapidly expanding into dementia-related health and social care, with proposed applications ranging from early risk detection and monitoring to care coordination and service planning. While these technologies may support independence, reduce caregiver burden, and improve efficiency in overstretched systems, dementia care is a uniquely high-stakes context for digital innovation. Cognitive decline can affect consent and agency, care often occurs in private domestic settings, and individuals may become increasingly dependent on others to interpret and act on algorithmic outputs. This Perspective examines the opportunities and challenges of AI in dementia policies and services, focusing on equity, privacy, accountability, and the risk that technologies displace human care. We argue that AI tools are only as reliable and fair as the data and infrastructures on which they depend, and that uneven access to digital resources may widen disparities in diagnosis, monitoring, and support. We also highlight often-overlooked considerations, including environmental sustainability and the broader role of AI in shaping exposures relevant to brain health across the life course. Whether AI improves dementia care will ultimately depend on policy and governance choices, including investment in equitable digital infrastructure, robust real-world validation, and safeguards that prevent technology from substituting for human care. Finally, we propose governance priorities to ensure that AI-enabled dementia innovations are implemented as a public-interest matter, grounded in meaningful engagement of people living with dementia and care partners, real-world validation, and safeguards that protect dignity, autonomy, and social legitimacy.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Vilor-Tejedor, N., van Vorstenbosch, R., & Evans, T. E. (2026). Artificial intelligence in dementia care: challenges, controversies, and policy implications. Frontiers in Dementia. https://doi.org/10.3389/frdem.2026.1791195
Vancouver
Vilor-Tejedor N, van Vorstenbosch R, Evans TE. Artificial intelligence in dementia care: challenges, controversies, and policy implications. Frontiers in Dementia. 2026. doi:10.3389/frdem.2026.1791195. PMID: 42040756.
BibTeX
@article{vilortejedor2026-42040756,
author = {Vilor-Tejedor, Natalia and van Vorstenbosch, Robert and Evans, Tavia E.},
title = {{Artificial intelligence in dementia care: challenges, controversies, and policy implications}},
journal = {Frontiers in Dementia},
year = {2026},
doi = {10.3389/frdem.2026.1791195},
pmid = {42040756},
url = {https://doi.org/10.3389/frdem.2026.1791195}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- This Perspective examines the opportunities and challenges of AI in dementia policies and services, focusing on equity, privacy, accountability, and the risk that technologies displace human care.
- We argue that AI tools are only as reliable and fair as the data and infrastructures on which they depend, and that uneven access to digital resources may widen disparities in diagnosis, monitoring, and support.
- We also highlight often-overlooked considerations, including environmental sustainability and the broader role of AI in shaping exposures relevant to brain health across the life course.
- Whether AI improves dementia care will ultimately depend on policy and governance choices, including investment in equitable digital infrastructure, robust real-world validation, and safeguards that prevent technology from substituting for human care.
- Finally, we propose governance priorities to ensure that AI-enabled dementia innovations are implemented as a public-interest matter, grounded in meaningful engagement of people living with dementia and care partners, real-world validation, and safeguards that protect dignity, autonomy, and social legitimacy.
Why it matters
This perspective examines opportunities and challenges of AI in dementia care policy, focusing on equity, privacy, accountability, and the risk that technology displaces human care. It reports no treatment, cure, or prevention of Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 37/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Frontiers in Dementia) |
| Journal's citation record | 0 / 4 | Frontiers in Dementia: journal h-index 13 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 2 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.0 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 4 / 6 | Cited 9.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Tavia E. Evans: h-index 14 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Utrecht University: institution h-index 1,157 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 3 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 42040756) |
| Free to read | 2 / 2 | Free to read |
| Total | 37 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.3389/frdem.2026.1791195
- PubMed: 42040756
- Original source →
- Free full text: Frontiers in Dementia →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.
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