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Research

27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.

Find studies

Showing 426–450 of 1,094 studies in Digital health tools (page 18 of 44) · 27,380 in the whole library · How the 0–100 score works

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; 12,859 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.

The Ontario Neurodegenerative Disease Research Initiative (ONDRI)

✓ Peer-reviewed alzhub usefulness score 49 out of 100. The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques 2016-12-22

Because individuals develop dementia as a manifestation of neurodegenerative or neurovascular disorder, there is a need to develop reliable approaches to their identification. 5 key findings →

Evidence: low

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

Automated MRI-based classification of primary progressive aphasia variants

✓ Peer-reviewed alzhub usefulness score 49 out of 100. NeuroImage 2009-06-06

Degeneration of language regions in the dominant hemisphere can result in primary progressive aphasia (PPA), a clinical syndrome characterized by progressive deficits in speech and/or language function. 4 key findings →

Participants: 86 Evidence: low

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

Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Radiology 2015-12-11

The SVM can be used in single-subject discrimination and can help the clinician arrive at a diagnosis. 4 key findings →

Participants: 115 Evidence: low

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

Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022-04-07

On clinical data, this innovative approach for early diagnosis might provide more insight into pathophysiological processes underlying degenerative changes, as well as toward a personalized risk evaluation for pharmacological, nonpharmacological, and rehabilitation treatments. 1 key finding →

Evidence: low

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

Relationship between Fried's frailty phenotype and oral frailty in long-term care residents

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Age and ageing 2021-11-01

Design the FINnish ORAL Health Study in Long-Term Care study is a cross-sectional clinical research comprising findings on oral and general health and nutrition. 1 key finding →

Design: cross-sectional Evidence: low

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

Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy

✓ Peer-reviewed alzhub usefulness score 49 out of 100. ACS nano 2022-03-25

The study of Alzheimer's disease (AD), the most common cause of dementia, faces challenges in terms of understanding the cause, monitoring the pathogenesis, and developing early diagnoses and effective treatments. 5 key findings →

Evidence: low

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

MRI Characterizes the Progressive Course of AD and Predicts Conversion to Alzheimer's Dementia 24 Months Before Probable Diagnosis

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Frontiers in aging neuroscience 2018-05-24

There is no disease-modifying treatment currently available for AD, one of the more impacting neurodegenerative diseases affecting more than 47.5 million people worldwide. 1 key finding →

Participants: 200 Evidence: moderate

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

Predicting Cognitive Impairment and Dementia: A Machine Learning Approach

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Journal of Alzheimer's disease : JAD 2020-01-01

Higher-order factors (e.g., emotional distress, subjective health), which reflect complex interactions between various aspects of an individual, were more important than narrowly defined factors (e.g., clinical and behavioral indicators) when evaluated concurrently to predict cognitive impairment and dementia. 2 key findings →

Design: post-hoc analysis Participants: 9,979 Evidence: low

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

Comparison of trained clinician ratings with expert ratings of aspiration on videofluoroscopic images from a randomized clinical trial

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Dysphagia 2008-10-25

Accurate detection and classification of aspiration is a critical component of videofluoroscopic swallowing evaluation, the most commonly utilized instrumental method for dysphagia diagnosis and treatment. 4 key findings →

Participants: 669 Evidence: high

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

Frontotemporal lobar degeneration proteinopathies have disparate microscopic patterns of white and grey matter pathology

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Acta neuropathologica communications 2021-02-23

Frontotemporal lobar degeneration proteinopathies with tau inclusions (FTLD-Tau) or TDP-43 inclusions (FTLD-TDP) are associated with clinically similar phenotypes. 3 key findings →

Participants: 92 Evidence: moderate

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

How many people will need palliative care in Scotland by 2040? A mixed-method study of projected palliative care need and recommendations for service delivery

✓ Peer-reviewed alzhub usefulness score 49 out of 100. BMJ open 2021-02-03

By 2040 more people in Scotland are projected to die with palliative care needs, and the complexity of need will increase markedly. 3 key findings →

Participants: 34 Evidence: low

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

Classifications of Neurodegenerative Disorders Using a Multiplex Blood Biomarkers-Based Machine Learning Model

✓ Peer-reviewed alzhub usefulness score 49 out of 100. International journal of molecular sciences 2020-09-21

Easily accessible biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and related neurodegenerative disorders are urgently needed in an aging society to assist early-stage diagnoses. 4 key findings →

Participants: 377 Evidence: low

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

Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Frontiers in Nutrition 2025-01-23

We observed that existing AI-assisted dietary assessment tools are integrated with mobile/web-based applications to provide a user-friendly interface. 5 key findings →

Participants: 17,613 Evidence: low

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

299. SENSORS IN-HOME FOR ELDER WELLBEING (SINEW): DIGITAL PHENOTYPING AND ARTIFICIAL INTELLIGENCE FOR EARLY DETECTION OF DEMENTIA

✓ Peer-reviewed alzhub usefulness score 49 out of 100. The International Journal of Neuropsychopharmacology 2025-08-01

Early identification of individuals at increased risk of mild cognitive impairment (MCI), a pre-dementia state, can provide a critical window for prompt intervention to prevent or reverse disease progression. 5 key findings →

Design: longitudinal study Participants: 87 Evidence: moderate

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

Neuropsychiatric symptoms and neuroimaging‐based brain age in mild cognitive impairment and early dementia: A multicenter study

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Psychiatry and Clinical Neurosciences 2025-01-17

All groups showed significantly increased brain-PAD, and the median (IQR) brain-PAD was 4.3 (5.4) years in MCI, 6.3 (6.2) years in AD, and 5.0 (6.5) years in DLB. 4 key findings →

Design: cross-sectional Participants: 185 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. Show only studies that are free to read

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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.

1,032 records (3.8% 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