28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
We used a previously validated automated machine learning algorithm based on adaptive boosting to segment the hippocampi in baseline and 12-month follow-up 3D T1-weighted brain MRIs of 150 cognitively normal elderly (NC), 245 mild cognitive impairment (MCI) and 97 Dementia of the Alzheimer's type (DAT) ADNI subjects. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
These findings lay groundwork to enable AD clinical trials with characterization and disease-specific tracking of DS adults. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective measures for disease diagnosis and staging. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD). 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
With the publication in 2015 of the consensus statement by the perfusion study group of the International Society for Magnetic Resonance in Medicine (ISMRM) and the EU-COST action 'ASL in dementia' on the implementation of arterial spin labelling MRI (ASL) in a clinical setting, the development of ASL can be considered to have become mature and ready for clinical prime-time. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Utilizing the publicly available neuroimaging database enabled by Alzheimer's disease Neuroimaging Initiative (ADNI; http://adni.loni.usc.edu/ ), we have compared the performance of automated classification algorithms that differentiate AD vs. normal subjects using Positron Emission Tomography (PET) with fluorodeoxyglucose (FDG). 5 key findings →
Evidence: low
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Three cases of slowly progressive speech and language disturbance were studied at various points post onset (three, five and 15 years respectively). 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Dementia, a chronic and progressive cognitive declination of brain function caused by disease or impairment, is becoming more prevalent due to the aging population. 2 key findings →
Evidence: low
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The non-fluent/agrammatic variant of primary progressive aphasia (nfvPPA) and the behavioral variant frontotemporal dementia (bvFTD) are focal neurodegenerative disorders belonging to the FTD-spectrum clinical syndromes. 1 key finding →
Evidence: low
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This bibliometric review examines the evolving landscape of artificial intelligence (AI) in neurodegenerative diseases research from 2000 to March 16, 2025, utilizing data from 1,402 publications (1,159 articles, 243 reviews) indexed in the Web of Science Core Collection. 1 key finding →
Evidence: low
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As the leading cause of dementia worldwide, Alzheimer’s Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Predicting the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) has important clinical significance for dementia prevention and improving patient prognosis. 4 key findings →
Evidence: low
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Data from 262 records (260 unique participants) were analyzed. 5 key findings →
Participants: 15 Evidence: low
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Most current Alzheimer's disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
To acquire larger samples for answering complex questions in neuroscience, researchers have increasingly turned to multi-site neuroimaging studies. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals across the world. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying white matter tracts. 2 key findings →
Participants: 28 Evidence: low
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High-speed high-resolution imaging of the whole-brain hemodynamics is critically important to facilitating neurovascular research. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Combining multi-modality data for brain disease diagnosis such as Alzheimer's disease (AD) commonly leads to improved performance than those using a single modality. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Brain MR images are the most suitable method for detecting chronic nerve diseases such as brain tumors, strokes, dementia, and multiple sclerosis. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Twenty-three elderly patients were found to have a consistent pattern of leukoencephalopathy by computed tomography and nuclear magnetic resonance imaging. 1 key finding →
Participants: 15 Evidence: low
Full summary, score breakdown and related studies → Original source
We found 129 articles that applied transfer learning to MR brain imaging tasks. 5 key findings →
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
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
Besides their diagnostic use, MRI and DTI will broaden our understanding of the pathophysiology of AD and the structural and functional basis of normal cognition. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
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 →