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Assistive Intelligence: A Framework for AI-Powered Technologies Across the Dementia Continuum
Bijoyaa Mohapatra, Reza Ghaiumy Anaraky. Journal of Ageing and Longevity, 2026-01-10
Topic: Risk, prevention and care in population studies
Dementia is a progressive condition that affects cognition, communication, mobility, and independence, posing growing challenges for individuals, caregivers, and healthcare systems. While traditional care models often focus on symptom management in later stages, emerging artificial intelligence (AI) technologies offer new opportunities for proactive and personalized support across the dementia trajectory. This concept paper presents the Assistive Intelligence framework, which aligns AI-powered interventions with each stage of dementia: preclinical, mild, moderate, and severe. These are mapped across four core domains: cognition, mental health, physical health and independence, and caregiver support. We illustrate how AI applications, including generative AI, natural language processing, and sensor-based monitoring, can enable early detection, cognitive stimulation, emotional support, safe daily functioning, and reduced caregiver burden. The paper also addresses critical implementation considerations such as interoperability, usability, and scalability, and examines ethical challenges related to privacy, fairness, and explainability. We propose a research and innovation roadmap to guide the responsible development, validation, and dissemination of AI technologies that are adaptive, inclusive, and centered on individual well-being. By advancing this framework, we aim to promote equitable and person-centered dementia care that evolves with individuals’ changing needs.
Key findings
- These are mapped across four core domains: cognition, mental health, physical health and independence, and caregiver support.
- We illustrate how AI applications, including generative AI, natural language processing, and sensor-based monitoring, can enable early detection, cognitive stimulation, emotional support, safe daily functioning, and reduced caregiver burden.
- The paper also addresses critical implementation considerations such as interoperability, usability, and scalability, and examines ethical challenges related to privacy, fairness, and explainability.
- We propose a research and innovation roadmap to guide the responsible development, validation, and dissemination of AI technologies that are adaptive, inclusive, and centered on individual well-being.
- By advancing this framework, we aim to promote equitable and person-centered dementia care that evolves with individuals’ changing needs.
Why it matters
This is a concept paper that proposes a framework for matching AI technologies to different stages of dementia and different areas of need, rather than reporting new treatments or cures. It does not present tested outcomes, so it offers a roadmap for future research rather than evidence that any AI tool prevents or treats 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 (Journal of Ageing and Longevity) |
| Journal's citation record | 0 / 4 | Journal of Ageing and Longevity: journal h-index 10 (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 | 2 / 7 | Cited 5 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 2.5 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 5 / 6 | Cited 23.7× 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 | 1 / 4 | Cited 5 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 1 / 4 | Last-listed author Reza Ghaiumy Anaraky: h-index 14 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Louisiana State University: institution h-index 856 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| 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
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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.
APA 7th
Mohapatra, B., & Anaraky, R. G. (2026). Assistive Intelligence: A Framework for AI-Powered Technologies Across the Dementia Continuum. Journal of Ageing and Longevity. https://doi.org/10.3390/jal6010008
Vancouver
Mohapatra B, Anaraky RG. Assistive Intelligence: A Framework for AI-Powered Technologies Across the Dementia Continuum. Journal of Ageing and Longevity. 2026. doi:10.3390/jal6010008.
BibTeX
@article{mohapatra2026-8ea2f362,
author = {Mohapatra, Bijoyaa and Anaraky, Reza Ghaiumy},
title = {{Assistive Intelligence: A Framework for AI-Powered Technologies Across the Dementia Continuum}},
journal = {Journal of Ageing and Longevity},
year = {2026},
doi = {10.3390/jal6010008},
url = {https://doi.org/10.3390/jal6010008}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.