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Home › Research › Topics › pet

pet

1,163 studies tagged pet, dated 1983-08-01 to 2026-11-01. Bibliography: BibTeX (.bib) · RIS (.ris)

Newest in this topic

  1. Large-scale head-to-head comparison of on- and off-target profiles of [18F]Tauvid and [18F]MK6240 tau-PET in aging and Alzheimer’s disease 2026-11-01
  2. Detection of tau spatial extent using MK6240 and flortaucipir PET 2026-10-28
  3. Soluble amyloid composition links proximal APP processing, fibrillar burden and the p-tau181 response 2026-10-22

Studies

1,163 studies carry this tag.

Date range

1983 to 2026

Top journals

  • Neurology 88
  • Alzheimer's & dementia : the journal of the Alzheimer's Association 58
  • Brain : a journal of neurology 52
  • Journal of nuclear medicine : official publication, Society of Nuclear Medicine 52
  • Alzheimer's research & therapy 34

337 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.

  1. The role of brain MR and FDG-PET in the diagnosis of neurodegenerative disease

    ✓ Peer-reviewed alzhub usefulness score 35 out of 100. European Radiology 2025-09-03 Treatments

    Alzheimer disease (AD) is the most common dementing disorder, affecting 55 million people worldwide.

  2. Concordance between Centiloid Quantification and Visual Interpretation of Amyloid PET Scans across the Alzheimer Disease Continuum

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. AJNR. American journal of neuroradiology 2025-09-02 Biomarkers

    Global CL quantification of Aβ PET scans is highly concordant with visual interpretation.

  3. Combining Lumipulse p-tau217 and Aβ42/40 as confirmatory tests for Aβ positivity prior to disease-modifying therapy

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. Alzheimer's & dementia : the journal of the Alzheimer's Association 2025-09 Biomarkers

    Testing an Alzheimer's disease continuum cohort, the area under the curve (AUC), sensitivity, specificity, and accuracy for the p-tau217/Aβ42 ratio reached 0.961, 93%, 92%, and 93%, respectively.

  4. Comparison of amyloid PET acquired through standardized and unstandardized protocols

    ✓ Peer-reviewed alzhub usefulness score 46 out of 100. Alzheimer's & dementia : the journal of the Alzheimer's Association 2025-09 Brain scans and imaging

    Within each tracer, GMM-derived amyloid negative (A-) CL distributions were similar across cohorts.

  5. Concordance Between Amyloid-PET Quantification and Real-World Visual Reads

    ✓ Peer-reviewed alzhub usefulness score 63 out of 100. JAMA neurology 2025-09-01 Biomarkers

    Of 18 293 participants included in the parent study, scan images were available for 10 774 (59%), of which Centiloids were successfully calculated for 10 361 (96%).

  6. Enhancing Alzheimer’s Diagnosis with Machine Learning on EEG: A Spectral Feature-Based Comparative Analysis

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Diagnostics 2025-08-29 Digital health tools

    The SVM classifier achieved a notable accuracy of 96.01%, outperforming previously reported methods.

  7. Integrative machine learning approach to risk prediction for dementia and Alzheimer’s disease

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. GeroScience 2025-08-27 Digital health tools

    Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, and loss of independence.

  8. Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression

    ✓ Peer-reviewed alzhub usefulness score 55 out of 100. Alzheimer s Research & Therapy 2025-08-07 Mild cognitive impairment

    A single-timepoint ResNet3D model achieved modest performance (c-index ~ 0.70).

  9. Multi-omics profiling reveals two distinct trajectories in the progression from mild cognitive impairment to Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 33 out of 100. Journal of Alzheimer s Disease 2025-08-06 Mild cognitive impairment

    BackgroundAlzheimer's disease (AD) exhibits significant clinical and pathological heterogeneity, particularly during the mild cognitive impairment (MCI) transitional stage.

  10. Portable platform for measuring amyloid beta 42/40 ratio via photooxidation-induced fluorescence amplification

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Lab on a chip 2025-08-05 Biomarkers

    Alzheimer's disease (AD) is a serious health condition that exacerbates with age.

  11. Enhanced Deep Learning Framework for Precise MRI ‐Based Alzheimer's Disease Stage Classification

    ✓ Peer-reviewed alzhub usefulness score 31 out of 100. Computational Intelligence 2025-08-01 Brain scans and imaging

    Alzheimer's disease (AD) diagnosis using MRI scans must be very accurate since the subtle differences throughout the course of the disease are difficult to identify.

  12. xEEGNet: towards explainable AI in EEG dementia classification

    ✓ Peer-reviewed alzhub usefulness score 42 out of 100. Journal of Neural Engineering 2025-08-01 Disparities

    The capability of xEEGNet to filter specific EEG bands, learns band specific topographies and use the right EEG spectral bands for disease classification demonstrates its interpretability.

  13. Artificial Intelligence–Assisted Detection of Amyloid-Related Imaging Abnormalities: Promise and Pitfalls

    ✓ Peer-reviewed alzhub usefulness score 42 out of 100. American Journal of Neuroradiology 2025-07-30 Treatments

    The advent of anti-amyloid therapies (AATs) for Alzheimer disease (AD) has elevated the importance of MRI surveillance for amyloid-related imaging abnormalities (ARIA) such as microhemorrhages and siderosis (ARIA-H) and edema (ARIA-E).

  14. Structural MRI–based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations

    ✓ Peer-reviewed alzhub usefulness score 38 out of 100. Radiology Artificial Intelligence 2025-07-30 Brain scans and imaging

    The 3D Nested Hierarchical Transformer model helped to accurately diagnose Alzheimer disease based on structural brain MRI scans.

  15. Multimodal DTI-ALPS and hippocampal microstructural signatures unveil stage-specific pathways in Alzheimer’s disease progression

    ✓ Peer-reviewed alzhub usefulness score 48 out of 100. Frontiers in Aging Neuroscience 2025-07-28 Mild cognitive impairment

    < 0.001). Receiver operating characteristic (ROC) analysis identified right hippocampal MD and t-tau as optimal classifiers for AD.

  16. The discriminant ability of the Eating Assessment Tool-10 to detect dysphagia and aspiration according to the stage of Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 39 out of 100. Journal of Alzheimer s Disease 2025-07-24 Clinical safety

    BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder frequently associated with dysphagia, leading to malnutrition, dehydration, and aspiration pneumonia.

  17. Diagnostic value and difference of quantitative susceptibility mapping and voxel-based morphological analysis in patients with Alzheimer’s disease and mild cognitive impairment

    ✓ Peer-reviewed alzhub usefulness score 44 out of 100. Chinese Medical Journal 2025-07-17 Mild cognitive impairment

    To the Editor: With the aging of the population, the prevalence of Alzheimer’s disease (AD) has increased significantly.

  18. Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence

    ✓ Peer-reviewed alzhub usefulness score 49 out of 100. NeuroImage 2025-07-16 Getting a diagnosis

    This comprehensive review examines the integration of Quantitative Electroencephalography (qEEG) and Artificial Intelligence (AI) in the detection and diagnosis of Alzheimer's Disease (AD).

  19. Tau PET positivity in individuals with and without cognitive impairment varies with age, amyloid-β status, APOE genotype and sex

    ✓ Peer-reviewed alzhub usefulness score 63 out of 100. Nature neuroscience 2025-07-16 Brain scans and imaging

    Tau positron emission tomography (PET) imaging allows in vivo detection of tau proteinopathy in Alzheimer's disease, which is associated with neurodegeneration and cognitive decline.

  20. An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Frontiers in Medicine 2025-07-15 Digital health tools

    The early and accurate diagnosis of Alzheimer's Disease and Frontotemporal Dementia remains a critical challenge, particularly with traditional machine learning models which often fail to provide transparency in their predictions, reducing user confidence and treatment effectiveness.

  21. Clinical Role of Brain PET in Alzheimer Disease in the Era of Disease-Modifying Therapies

    ✓ Peer-reviewed alzhub usefulness score 42 out of 100. American Journal of Neuroradiology 2025-07-10 Treatments

    Alzheimer disease (AD) is the leading cause of dementia, with an estimated 6.9 million Americans aged 65 and older living with Alzheimer dementia today, with this number projected to grow to 13.8 million by 2060.

  22. Machine-learning based strategy identifies a robust protein biomarker panel for Alzheimer’s disease in cerebrospinal fluid

    ✓ Peer-reviewed alzhub usefulness score 39 out of 100. Alzheimer s Research & Therapy 2025-07-04 Digital health tools

    Utilizing machine learning, we identify a 12-protein panel from cerebrospinal fluid proteomic datasets.

  23. RETRACTED: Revolutionizing medical imaging: A cutting-edge AI framework with vision transformers and perceiver IO for multi-disease diagnosis

    ⚠ Retracted — do not rely on it alzhub usefulness score 16 out of 100. Computational Biology and Chemistry 2025-07-04 Brain scans and imaging

    The integration of artificial intelligence in medical image classification has significantly advanced disease detection.

  24. Effects of obesity on plasma biomarker and amyloid PET trajectories in Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 57 out of 100. Alzheimer's & dementia (Amsterdam, Netherlands) 2025-07-03 Biomarkers

    Higher body mass index at baseline was correlated with lower levels of plasma phosphorylated tau (p-tau)217, p-tau217 ratio, neurofilament light chain (NfL), glial fibrillary acidic protein, and CLs.

  25. A novel neuroimaging based early detection framework for alzheimer disease using deep learning

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Scientific Reports 2025-07-02 Brain scans and imaging

    Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge.

  26. Classifying and diagnosing Alzheimer’s disease with deep learning using 6735 brain MRI images

    ✓ Peer-reviewed alzhub usefulness score 46 out of 100. Scientific Reports 2025-07-02 Brain scans and imaging

    Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care.

  27. Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase 18F-Florbetaben PET and clinical features

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. Scientific Reports 2025-07-01 Digital health tools

    This study developed machine learning models to predict Aβ positivity in Alzheimer’s disease by integrating early-phase 18 F-Florbetaben PET and clinical data to improve diagnostic accuracy.

  28. EEG SIGNAL ANALYSIS FOR CLASSIFYING ALZHEIMER’S AND FRONTOTEMPORAL DEMENTIA DISORDERS USING ENSEMBLE METHODS

    ✓ Peer-reviewed alzhub usefulness score 41 out of 100. International Journal of Advances in Signal and Image Sciences 2025-06-30 Lewy body dementia

    Accurate identification of neurodegenerative disorders, including Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD), is crucial for prompt medical intervention.

  29. An FDG-PET–Based Machine Learning Framework to Support Neurologic Decision-Making in Alzheimer Disease and Related Disorders

    ✓ Peer-reviewed alzhub usefulness score 58 out of 100. Neurology 2025-06-27 Digital health tools

    The discovery cohort contained 3,671 individuals with a mean age of 68 years and consisted of 49% reported female.

  30. Performance evaluation of Alzheimer’s disease detection in brain MRI images using the Alzheimer-net classifier

    ✓ Peer-reviewed alzhub usefulness score 28 out of 100. Engineering Research Express 2025-06-26 Brain scans and imaging

    The proposed approach achieves 97.9% AD Classification Index (ADCI) for the Kaggle dataset and 97.9% ADCI for the MIRIAD dataset.

  31. Artificial Intelligence in the Diagnostic Use of Transcranial Doppler and Sonography: A Scoping Review of Current Applications and Future Directions

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. Bioengineering 2025-06-21 Digital health tools

    Artificial intelligence (AI) is revolutionizing the field of medical imaging, offering unprecedented capabilities in data analysis, image interpretation, and decision support.

  32. Timing of Changes in Alzheimer's Disease Plasma Biomarkers as Assessed by Amyloid and Tau PET Clocks

    ✓ Peer-reviewed alzhub usefulness score 72 out of 100. Annals of neurology 2025-06-20 Biomarkers

    These findings suggest that the plasma Aβ42/Aβ40 may be useful in identifying individuals with very low levels of amyloid pathology, whereas p-tau, GFAP, and NfL may be useful in staging disease progression.

  33. Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets

    ✓ Peer-reviewed alzhub usefulness score 41 out of 100. Frontiers in Medicine 2025-06-19 Brain scans and imaging

    The model achieves accuracy rates of 94% on the brain tumor dataset, 81% on the augmented Alzheimer dataset, and 93% on the third dataset, underscoring its capability to differentiate various neurological conditions.

  34. Integrative and interpretable framework to unveil the neurophysiological fingerprint of Alzheimer’s disease and mild cognitive impairment: A machine learning-SHAP approach

    ✓ Peer-reviewed alzhub usefulness score 38 out of 100. Journal of Applied Biomedicine 2025-06-13 Digital health tools

    Dementia and mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) are neurological pathologies associated with disruptions in brain electromagnetic activity, typically studied using magnetoencephalography (MEG) and electroencephalography (EEG).

  35. Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients

    ✓ Peer-reviewed alzhub usefulness score 35 out of 100. International Journal of Neural Systems 2025-06-12 Lewy body dementia

    Graph theory has proven to be useful in studying brain dysfunction in Alzheimer’s disease using MagnetoEncephaloGraphy (MEG) and fMRI signals.

  36. ‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion

    ✓ Peer-reviewed alzhub usefulness score 35 out of 100. Discover Applied Sciences 2025-06-12 Digital health tools

    Three blood gene expression datasets of high dimensionality and low sample size (HDLSS) have been utilized in this study, with one dataset exhibiting significant class imbalance.

  37. Machine Learning to Detect Motor Agitation in People With Dementia Using Real-Time Location Data

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. American Journal of Geriatric Psychiatry 2025-06-11 Digital health tools

    Our findings indicate that using location-based trajectory metrics with clinical measures significantly improves the predictability of motor agitation beyond individual baselines.

  38. Recapitulation of Ageism in Artificial Intelligence–Generated Images: Longitudinal Comparative Study

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. Journal of Medical Internet Research 2025-06-11 Digital health tools

    Representations of White-racialized older adults were 5-fold higher than those of other races in both years.

  39. Evaluating EEG complexity and spectral signatures in Alzheimer’s disease and frontotemporal dementia: evidence for rostrocaudal asymmetry

    ✓ Peer-reviewed alzhub usefulness score 39 out of 100. npj Aging 2025-06-09 Lewy body dementia

    Accurate classification of neurodegenerative disorders remains a challenge in neuroscience.

  40. White Matter Abnormalities and Cognition in Aging and Alzheimer Disease

    ✓ Peer-reviewed alzhub usefulness score 70 out of 100. JAMA Neurology 2025-06-09 Genetics

    Of 4467 participants who underwent 9208 longitudinal cognitive sessions, 2698 (60.4%) were female, and the mean age (SD) was 74.3 (9.2) years; 3213 were cognitively unimpaired, 972 had mild cognitive impairment, and 282 had AD dementia.

  41. Readability of AI-Generated Patient Information Leaflets on Alzheimer’s, Vascular Dementia, and Delirium

    ✓ Peer-reviewed alzhub usefulness score 41 out of 100. Cureus 2025-06-06 Lewy body dementia

    There are meaningful differences in the readability of patient information generated by different large language models.

  42. High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study

    ✓ Peer-reviewed alzhub usefulness score 38 out of 100. JMIR AI 2025-06-03 Brain scans and imaging

    Symptom extraction across the 7 domains achieved high accuracy with AUROCs ranging from 0.97 to 0.99.

  43. Research progress in predicting the conversion from mild cognitive impairment to Alzheimer’s disease via multimodal MRI and artificial intelligence

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Frontiers in Neurology 2025-06-02 Digital health tools

    Predicting the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) has important clinical significance for dementia prevention and improving patient prognosis.

  44. Modulation of Cortical and Hippocampal Functional MRI Connectivity Following Transcranial Alternating Current Stimulation in Mild Alzheimer Disease

    ✓ Peer-reviewed alzhub usefulness score 61 out of 100. Radiology 2025-06-01 Treatments

    Cognitive performance in mild AD improved following tACS, with increased FC within cortical networks and between the hippocampus and specific cortical regions.

  45. Early and Late Fusion for Multimodal Aggression Prediction in Dementia Patients: A Comparative Analysis

    ✓ Peer-reviewed alzhub usefulness score 38 out of 100. Applied Sciences 2025-05-22 Brain tissue and pathology

    Aggression in patients with dementia poses significant caregiving and clinical issues.

  46. Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. Alzheimer s Research & Therapy 2025-05-21 Digital health tools

    Actigraphy accurately identifies different dementia etiologies and could serve as a supplement to diagnostic investigations in patients with suspected AD for differential diagnostic purposes.

  47. TAU PET HARMONIZATION VIA SURFACE-BASED DIFFUSION MODEL

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Proceedings. IEEE International Symposium on Biomedical Imaging 2025-05-12 Brain scans and imaging

    The heterogeneity inherent in tau positron emission tomography (PET) imaging data across different tracers challenges the integration of multi-site tau PET data, thereby necessitating the trustful harmonization technique for a better utilization of the emerging large-scale datasets.

  48. Artificial intelligence and omics-based autoantibody profiling in dementia

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. Frontiers in Immunology 2025-05-08 Digital health tools

    PWAbS revealed elevated gross autoantibody levels in AD and DLB patients compared to CNIs.

  49. MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. Scientific Reports 2025-05-06 Getting a diagnosis

    In the complex realm of cognitive disorders, Alzheimer's disease (AD) and vascular dementia (VaD) are the two most prevalent dementia types, presenting entangled symptoms yet requiring distinct treatment approaches.

  50. Alzheimers and Brain Tumor Detection Using Deep Learning

    ✓ Peer-reviewed alzhub usefulness score 28 out of 100. International Journal of Innovative Science and Research Technology 2025-05-02 Brain scans and imaging

    The results may contribute to refining current diagnostic techniques, promoting earlier detection, and assisting in the development of advanced tools for accurate brain tumor diagnosis and treatment planning.

From across this tag

9 of the 1,159 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.

All topic tags with their study counts