Latest AI and machine learning research in dementia for healthcare professionals.
In longitudinal Alzheimer's disease (AD) diagnosis support, clinical and imaging information is ofte...
Longitudinal dementia progression prediction is essential for clinical decision-making. However, mod...
Alzheimers disease (AD) is a brain disorder that develops slowly and mainly affects memory, thinking...
INTRODUCTION: Accurate MRI-based identification of Alzheimer's disease (AD), mild cognitive impairme...
Background: Polypharmacy is common in people living with dementia (PLwD) and associated with adverse...
Accurately predicting the temporal evolution of clinical biomarkers is crucial for the early diagnos...
ABSTRACT Dementia classification in heterogeneous populations is complicated by the influence of edu...
Accurately predicting the spatiotemporal evolution of amyloid-$β$ and tau proteins at the individual...
Alzheimer's Disease is a chronic neurodegenerative disorder projected to affect 115 million people b...
Longitudinal modelling of Alzheimer's disease progression is clinically useful only if it can descri...
Background: Efficient cerebral microhemorrhage (MCH) monitoring is critical for anti-amyloid therapy...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder and a leading cause of death ...
Recent advances in generative machine learning models have significantly improved medical imaging, o...
Despite increasing adoption of multimodal approaches in Alzheimer's Disease (AD) research -- aimed a...
Objective: Observational studies are essential for investigating risk factors for Alzheimer's diseas...
Alzheimer's disease (AD) progression is often described through the amyloid-tau-neurodegeneration, o...
This paper presents a two-stage Hybrid Classical-Quantum (HCQ) pipeline for binary Alzheimer's disea...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that affects millions of older ...
The escalating demand for mental healthcare, driven by rising societal stress, highlights the limita...
Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for ...
Background: Cognitive resilience (CR) in Alzheimers disease (AD) refers to preserved cognitive funct...