28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
Our findings indicate a general agreement among professional stakeholders on the ethical promises and challenges raised by the use of IATs among older and disabled users. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Computerized clinical decision support systems can help to provide objective, standardized, and timely dementia diagnosis. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Providing peer-support groups using telehealth may have the potential to develop self-sustaining peer networks for isolated caregivers of people with dementia. 1 key finding →
Participants: 28 Evidence: high
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Down syndrome is the most common genetic developmental disorder in humans and is caused by partial or complete triplication of human chromosome 21 (trisomy 21). 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The observed misalignment of opinion between end users and developers on desirable design features of companion robots demonstrates the need for user-centred design during development. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. 5 key findings →
Evidence: moderate
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Language performance deficits can appear early before impairment in episodic memory, visuospatial construction ability, or mental status in individuals at risk for MCI. 5 key findings →
Participants: 86 Evidence: low
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The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD. 2 key findings →
Participants: 93 Evidence: low
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Twenty-nine articles met our inclusion criteria and were categorized into 3 groups as follows: (a) mobile versions of existing article or computerized neuropsychological tests; (b) new cognitive tests developed specifically for mobile platforms; and (c) the use of new types of data for cognitive assessment. 2 key findings →
Evidence: low
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Bipolar disorders were associated with greater, whereas Li treatment with lower discrepancy between brain and chronological age. 3 key findings →
Participants: 84 Evidence: low
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This article reviews two of the primary progressive aphasias (PPAs), disorders characterized by the early and predominant impairment of language, and primary progressive apraxia of speech, a degenerative motor speech disorder that is closely related to PPA. 1 key finding →
Evidence: low
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The machine learning algorithm for NPTs has suggested potential use as a reference in differentiating cognitive impairment in the clinical setting. 1 key finding →
Evidence: low
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Neuropathologists assess vast brain areas to identify diverse and subtly-differentiated morphologies. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Our aim is to develop a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any additional monitoring or screening. 1 key finding →
Evidence: low
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There is an urgent need for greater consideration of the ethical and legal implications that remote technological monitoring might have upon workforce morale, recruitment and retention. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We identified three major methodological weaknesses: (1) over-reliance on one data source, (2) poor verification of statistical assumptions of Cox and logistic regression, and (3) lack of validation. 1 key finding →
Evidence: low
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Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Machine learning models are promising alternatives for estimating the genetic risk of LOAD. 3 key findings →
Evidence: moderate
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The clinical symptoms of dementia include difficulty with speech, poor short-term memory, and changes in behavior. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Features for rule-based systems, including significant words and patterns related to SBI, were generated using pointwise mutual information. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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
The level of prediction error in the brain age estimation frameworks is associated with the authenticity of statistical inference on the basis of regression models. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
A World Health Organization (WHO) Feb 2018 report has recently shown that mortality rate due to brain or central nervous system (CNS) cancer is the highest in the Asian continent. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Deep neural networks have led to state-of-the-art results in many medical imaging tasks including Alzheimer's disease (AD) detection based on structural magnetic resonance imaging (MRI) data. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
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
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.
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.
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 →