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Research

28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.

Find studies

Showing 451–475 of 571 studies in Digital health tools · free to read (page 19 of 23) · 28,580 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

Other subjects

Authors

Names as each record prints them; the same person can appear under two spellings.

Institutions

From OpenAlex; 14,058 studies have no institution on record and are not counted here.

What “Digital health tools” covers

Digital health tools — Apps, wearables, online tests and other technology used to detect, monitor or support people with dementia.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Communication skills training in a nursing home: effects of a brief intervention on residents and nursing aides

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Clinical interventions in aging 2015-01-20

Effective communication by nursing home staff is related to a higher quality of life and a decrease in verbal and physical aggression and depression in nursing home residents. 2 key findings →

Participants: 24 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Factors Affecting Caregivers' Acceptance of the Use of Wearable Devices by Patients With Dementia: An Extension of the Unified Theory of Acceptance and Use of Technology Model

✓ Peer-reviewed alzhub usefulness score 42 out of 100. American journal of Alzheimer's disease and other dementias 2019-11-03

The results of the extended model show that social influence, effort expectancy, facilitating conditions, and behavioral intention (BI) all had P P value for RC and TA was greater than .05, hence were insignificant. 1 key finding →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Engineering Applications of Artificial Intelligence 2025-04-18

Neuro Degenerative Disorders (NDDs) involve progressive nerve cell loss, impacting functions like sensation, movement, memory, and cognition, posing life-threatening risks. 5 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Scientific Reports 2025-07-16

Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data. 2 key findings →

Participants: 450 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Exploring Factors Related to Social Isolation Among Older Adults in the Predementia Stage Using Ecological Momentary Assessments and Actigraphy: Machine Learning Approach

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Journal of Medical Internet Research 2025-06-23

Of the 99 participants, 43 were classified into the low social interaction frequency group, and 37 were classified into the high loneliness level group. 5 key findings →

Participants: 99 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Communication Bridge: A pilot feasibility study of Internet-based speech-language therapy for individuals with progressive aphasia

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Alzheimer's & dementia (New York, N. Y.) 2016-11-01

Internet-based SLT using person-centered interventions provides a feasible model for delivering care to individuals with dementia and mild/moderate aphasia symptoms who have an engaged care-partner and prior familiarity with a computer. 1 key finding →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Repetitive speech phenomena in Parkinson's disease

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Journal of neurology, neurosurgery, and psychiatry 2000-09-01

Patients with advanced Parkinson's disease had a significantly higher disease impairment, longer disease duration, and an unstable motor response to levodopa with frequent on-off fluctuations. 5 key findings →

Participants: 29 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Acute procoagulant stress response as a dynamic measure of allostatic load in Alzheimer caregivers

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine 2003-08-01

Allostasis designates processes of bodily adaptation to stressful challenges, whereas allostatic load means the costs of wear and tear to the body as a consequence of inefficient allostasis. 2 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging‐Based Dementia Diagnosis and Prognosis

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Human Brain Mapping 2026-02-01

Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve 'black box' models that can be difficult to trust. 5 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Acceptability of wearable technology for the early detection of dementia-causing diseases: perspectives from the CODEC II cohort

✓ Peer-reviewed alzhub usefulness score 41 out of 100. BMC Digital Health 2025-08-28

= 1), and three caregivers. Five key themes were identified, including ease of use, wearability, usefulness, transparency, and behavioral intention. 5 key findings →

Evidence: moderate

Full summary, score breakdown and related studies → Original source Free full text

Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening

✓ Peer-reviewed alzhub usefulness score 41 out of 100. JMIR Aging 2025-09-23

The presented results suggest the suitability of ecological handwriting analysis for the all-around monitoring of MCI, from early screening to disease progression evaluation. 4 key findings →

Participants: 57 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Brain Communications 2025-01-01

HEK293, Neuro2a and SH-SY5Y expressing increased levels of α-synuclein were treated with sonicated α-synuclein pre-formed fibrils, to model seeded aggregation. 1 key finding →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled.

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 28,580 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,034 records (3.6% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed