Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research

Alzheimer's disease prediction involves irregular visits, heterogeneous measurements and incomplete ...

A Deterministic Evidence Layer for Vision-Language Autism Screening from Naturalistic Home Video

Autism spectrum disorder (ASD) is diagnosed through specialist observation of a child's social behav...

Patterns of GLP-1 Receptor Agonist Initiation Compared With Other Glucose-Lowering and Anti-Obesity Therapies Among Older Adults

Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have rapidly expanded from primaril...

Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?

Speech-based Alzheimer's disease (AD) assessments increasingly rely on pretrained self-supervised le...

An explainable multimodal framework for exploring depression-associated speech representations in Alzheimer's disease

Depression in Alzheimer's disease (AD) is clinically challenging to characterise because affective a...

Amortized Data Borrowing with Exchangeability-Aware Neural Posterior Estimation

Augmenting small concurrent studies with external or historical cohorts is attractive in drug develo...

Examining the Clinical Utility of Deep Learning Models for Perivascular Space Segmentation in Alzheimer's Disease

Open-source deep learning models promise scalable quantification of MRI-visible perivascular spaces ...

Evidence Before Accuracy: A MRI-PET Fusion Network for Alzheimer Disease Classification with Causal Regional Validation

Deep learning models for Alzheimer disease (AD) classification routinely report near-perfect discrim...

A neurocognitive speech taxonomy for voice biomarkers of Alzheimer's disease

INTRODUCTION: Voice data combined with large language models may detect cognitive impairment, yet an...

BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment

Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches th...

Dementia Language Models: a generalizable and controllable representation of cognitive impairment

We introduce Dementia Language Models (DLMs)--a generalizable and controllable representation of cog...

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...

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

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

An Interpretable EEG Machine Learning Prototype for Alzheimers Disease Classification

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

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 ...

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 ...

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