Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 2227-2247 of 12,129 articles
M$^2$PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease

While various multimodal methods combining imaging and tabular data for Alzheimer's disease (AD) dia...

Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

We address adaptive computation in 3D medical image segmentation: instead of designing another backb...

Feed the Panel Dimensions, Not Verdicts: Rubric-Decomposed Fusion of Vision-Language Aesthetic Judges

Vision-language models (VLMs) are deployed as zero-shot judges of image aesthetics, and panels of se...

MMAP: Multimodal Missing-Aware Pretraining for Longitudinal Alzheimer's Prediction

Clinical decision making heavily relies on predicting the disease progression trajectory by seeking ...

Evaluating the Generalization of Neuroimaging Foundation Models on African Brain MRI

Neuroimaging foundation models pretrained on large, predominantly western cohorts are increasingly p...

An Interpretable EEG Machine Learning Prototype for Alzheimers Disease Classification

Resting-state electroencephalography (EEG) can capture the slowing of neural oscillations associated...

HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

Accurate classification of brain disorders from neuroimaging data remains challenging because of sub...

Pretrained Medical Representations for the Practical Screening of Drug Repositioning Candidates

Representation learning from medical code sequences in electronic health records and medical claims ...

Bridging Modalities on the Cortex: Surface-based MRI to PET Translation with a Diffusion Bridge

Cortical hypometabolism measured by Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is a h...

Diagnostic Value of Large Language Model-Extracted Gross Brain Findings in Neurodegenerative Diseases

Gross brain findings help guide differential diagnosis, but their diagnostic value across major neur...

Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

Deep networks trained on structural MRI for Alzheimer's disease (AD) staging often reach reasonable ...

Brain-PACE: A Deep Siamese MRI Framework for Modelling Longitudinal Brain Acceleration

Brain age estimation has become a popular research proxy for assessing brain health and disease, yet...

Sex-aware Cross-tissue Regulatory Transformer Identified Sexually Dimorphic Alzheimer's Disease Risk Loci and Causal Cellular Circuit

Sex differences in Alzheimer's disease (AD) genetic effects and regulatory contexts remain incomplet...

Predicting Conversion from SCD to MCI: A Machine Learning Study

BACKGROUND: Subjective cognitive decline (SCD) may precede mild cognitive impairment (MCI), but not ...

Retinal OCTA Phenotyping with LLM Reporting for Alzheimer's Disease

Early identification of Alzheimer's disease (AD) remains challenging because established assessment ...

A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Tasks

When there is not enough labeled data to properly train deep learning models, transfer learning can ...

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor ...

Evaluating Clinical Foundation Models for Early Alzheimer's Disease and Related Dementia Prediction from Longitudinal EHRs

Early identification of Alzheimer's disease and related dementias (ADRD) remains challenging despite...

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