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classification
842 studies tagged classification, dated 1983-08-01 to 2026-09-25. Bibliography: BibTeX (.bib) · RIS (.ris)
Newest in this topic
- Diagnostic accuracy of remote self-administered digital cognitive assessment by clinical diagnosis and Alzheimer's disease PET imaging biomarkers 2026-09-25
- Multi-scale 3D CNN with imbalance-aware training for structural MRI-based six-class Alzheimer disease staging 2026-09-22
- T1 mapping in Alzheimer’s disease: a quantitative MRI study with amyloid-PET correlation 2026-09-21
Studies
842 studies carry this tag.
Date range
1983 to 2026
Top journals
- Neurology 83
- Journal of nuclear medicine : official publication, Society of Nuclear Medicine 42
- Brain : a journal of neurology 34
- NeuroImage 31
- Alzheimer s & Dementia 30
283 journals in all.
Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.
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MTD showed excellent discrimination of CU versus MCI/DEM (AUC=.89; 95% CI=.87-.92), and discriminability remained high for CU versus MCI (AUC=.88; 95% CI=.85-.92).
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Alzheimer's disease staging from structural magnetic resonance imaging (MRI) is challenging when clinically adjacent stages and severe class imbalance are considered simultaneously.
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Thirty-three AD subjects, aged 69.3 ± 8.2 years (mean ± standard deviation), 18 females, and 22 HCs aged 70.5 ± 13.3 years, 15 females, were evaluated.
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Amyloid-targeted monoclonal antibody therapies have introduced a new era in the treatment of early Alzheimer disease.
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37/100
Expert panels interpreted 1497 scans. Participants were a median age of 75 y (range, 65-96 y), 51.4% were female, and 60.5% had mild cognitive impairment.
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BackgroundDementia is rising worldwide, and in Alzheimer Disease (AD) the loss of communication adds to the burden.
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Alzheimers disease (AD) is characterized by substantial clinical and biological heterogeneity, with diverse neuroanatomical, cognitive, clinical, functional, and genetic risk profiles that are poorly captured by current diagnostic frameworks.
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41/100
Older adults with Alzheimer's disease (AD) frequently present to emergency departments (EDs) with multiple coexisting conditions.
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Early identification of Alzheimers disease and related dementias (ADRD) remains challenging despite its importance for timely intervention, management of modifiable risk factors, and care planning.
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Anti-amyloid monoclonal antibody therapies (AATs) are increasingly used for the treatment of early symptomatic Alzheimer disease.
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46/100
Four cognitive phenotypes emerged. One phenotype (18% of Aβ+ participants) showed the steepest cognitive decline, highest progression on the CDR, greater baseline medial temporal tau, and fastest neocortical tau accumulation over 4.6 years (hazard ratio [HR] for decline ≈ 2.9).
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BackgroundThe Centiloid (CL) scale standardizes global amyloid PET quantification and is widely used to define amyloid positivity.
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Understanding how the contents of consciousness, particularly perceptual awareness, change with the progression of AD is crucial for meaningful person-centred care.
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Neuropsychiatric symptoms (NPS) are increasingly recognized as critical components of the disease progression in Alzheimers disease (AD), yet their relationship with neurodegeneration remain poorly characterized.
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BackgroundThe brain age gap (BAG), the difference between neuroimaging-predicted and chronological age, captures inter-individual variation in brain aging.
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BACKGROUNDQuantitative amyloid-beta (A{beta})-PET is increasingly used in AD prevention trials.
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41/100
A total of 51 patients with AD, age (median: 73 years) and 53 cognitively normal subjects (median age: 69) were included.
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Effect size analysis proves the fact that the hybrid model produces statistically significant performance, as well as cases of clinically meaningful improvements over lightweight CNN baselines.
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Alzheimer's disease progresses heterogeneously across diverse cohorts, yet current predictive models fail to capture this complexity while remaining clinically interpretable.
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Early and accurate prognosis of Alzheimer’s disease (AD) remains limited by current biomarkers, which are often invasive, require expensive equipment, or fail to predict individual trajectories of cognitive decline.
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Accurate estimation of Alzheimer's disease (AD) severity from structural magnetic resonance imaging (MRI) remains difficult, as disease-associated anatomical alterations are often subtle and publicly available datasets are typically too small to support robust deep learning model training.
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The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I2 = 95%).
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This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired).
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Alzheimer's blood-based biomarker (BBM) tests using single biomarkers or ratios are well characterized, but head-to-head comparisons of multi-analyte algorithmic tests on shared cohorts are lacking.
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Artificial intelligence (AI) has stimulated extensive research in clinical neurology, but relatively few AI systems have meaningfully changed bedside decision-making.
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36/100
Blood-based biomarkers are increasingly used to triage patients for amyloid confirmation, yet performance is often reported versus a single comparator despite discordance between amyloid PET and CSF.
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26/100
The accurate diagnosis tends to remain critical for the improvement of the patient outcomes in the Alzheimer’s disease (AD), where a progressive neurodegenerative disorder with the growing of the global impact.
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Alzheimer Disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β deposition, tau pathology, synaptic dysfunction, neuronal injury and cerebral atrophy.
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The Hierarchical-Circular Model of Biological Memory offers a unifying hypothesis for Alzheimer's disease and related dementias that bridges genetic, epigenetic, physiological, neuroimmune, and interoceptive processes across the lifespan.
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Alzheimer disease (AD) destroys brain cells and the patient’s memory is lost as a result of a progressive and incurable neurodegenerative disease.
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Enhanced connectivity between attention networks may be a characteristic of CR benefits in individuals with mild Alzheimer disease.
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Dementia research often suffers from methodological pitfalls such as label-information and subject-information leakages.
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Accurate and reproducible electroencephalography (EEG)-based classification of dementia remains a key challenge in computational neurodiagnostics.
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We identified 8 brain structural features from 192 MRI features that were associated with the risk of MCI progressing to AD, including: left hippocampus, left inferior lateral ventricle, left amygdala, right middle temporal gyrus, left fusiform gyrus, right amygdala, left cortical total volume, and brain parenchyma total volume.
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Thirty-two patients met inclusion criteria (lecanemab, N=15; donanemab, N=17).
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Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disease (AD) in the era of anti-amyloid-β antibody therapy, with a focus on clinical applications, methodological considerations, and future perspectives were reviewed.
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This expert workgroup review summarizes what is known about ARIA, the brain-swelling (ARIA-E) and micro-bleeding (ARIA-H) side effect seen with anti-amyloid drugs.
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Agreement between Syngo.via and MIMneuro varied by region.
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Differentiation of Alzheimer disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge.
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Accurate dementia risk prediction is challenging, and may be facilitated by better use of imaging and genetic data, including their complex interactions.
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Fourteen studies met eligibility criteria, covering populations from healthy controls to individuals with subjective cognitive decline, MCI, AD, and other dementias.
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Baseline 18F-MK-6240 PET showed a minimal signal in CU participants, localized signal to the medial temporal lobe in participants with MCI, and a signal spanning the inferolateral temporal lobe and extending posteriorly along the ventral cortex in participants with AD.
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Pathophysiologic-constrained ADL provided interpretable, personalized pathologic maps and an AI-derived ADAD score that more closely linked PET pathologic abnormalities with multimodal clinical measures. © RSNA, 2026
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All recently approved monoclonal antibodies (eg, aducanumab, lecanemab, and donanemab) for Alzheimer disease (AD) were shown to increase the risks of amyloid-related imaging abnormalities (ARIA) in randomized clinical trials, which can include brain swelling or hemorrhage.
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38/100
Participants’ motivations for testing and long-term adaptation to the results were strongly shaped by cognitive concerns and personal experiences of dementia in relatives.
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Alzheimer's disease (AD) is one of the most common neurological disorders affecting older adults, with approximately 7.2 million cases only in the United States.
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46/100
EXT showed high cross-sectional reliability and longitudinal stability.
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Perspectivas futuras O mesmo princípio de modulação glial pode ser aplicado em cenários de morte clínica (parada cardiorrespiratória).
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Perspectivas futuras O mesmo princípio de modulação glial pode ser aplicado em cenários de morte clínica (parada cardiorrespiratória).
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Significant alterations were observed in 7 lipid classes and 65 specific lipid species in DLB compared to AD.
From across this tag
9 of the 838 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 9. The same 9 appear here every time.
- An Ensemble Learning Artificial Intelligence Model for Alzheimer's Disease Detection Using OCT
- RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis
- UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases
- xEEGNet: towards explainable AI in EEG dementia classification
- Clinical Effect of Early vs Late Amyloid Positron Emission Tomography in Memory Clinic Patients: The AMYPAD-DPMS Randomized Clinical Trial
- Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis
- Magnetic Resonance Images Implicate That Glymphatic Alterations Mediate Cognitive Dysfunction in Alzheimer Disease
- Short-term Psychological Outcomes of Disclosing Amyloid Imaging Results to Research Participants Who Do Not Have Cognitive Impairment
- Early and late change on the preclinical Alzheimer's cognitive composite in clinically normal older individuals with elevated amyloid β