Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Faces provide crucial input for early development. This study leveraged innovations in wearable head-mounted cameras (headcams; specifically, TinyExplorer gear) and automated face detection (RetinaFace) to characterise the everyday visual availability of faces during playtime in the home environment across the first years. Using a cross-sectional developmental trajectory design, we collected egoce...
BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingly prominent. Artificial intelligence robots are a promising tool for digital mental health interventions, offering unique application potential in this field. OBJECTIVE: The purpose of this review is to systematically analyze the characteristics and ...
Episodic memory integrates what, where, and when of experience into a coherent autobiographical narrative. Decades of research have identified hippoca...
BACKGROUND: Site selection and qualification represent critical operational challenges in clinical trials, particularly in rare diseases like transthy...
BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory disease that constitutes the primary pathological basis of cardiovascular disorders. Althou...
OBJECTIVES: Assessing regional brain atrophy on 3D-T1w imaging is crucial for evaluating neurodegenerative disorders. However, high-quality volumetric...
This work describes BlindSpot-VisionGuide, an integrated, AI-based assistive system that aims to empower visually impaired people towards independence...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic p...
Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether these structural changes manifest as plasma confo...
INTRODUCTION: Alzheimer's disease (AD) is characterized by significant brain atrophy, detectable via structural MRI. There has been less focus on cort...
BACKGROUND: Atrial cardiopathy often precedes atrial fibrillation (AF) and has emerged as an independent risk factor for cardiovascular outcomes. Howe...
BACKGROUND: The integration of retrieval-augmented generation (RAG) systems into the domain of medical question-answering (QA) presents a significant ...
BACKGROUND: The global population of People Living with Dementia (PLWD) is expected to grow rapidly in the coming decades, increasing the need for per...
Alzheimer's disease (AD) is a powerful neurodegenerative disease characterized by cholinergic deficiency, where the inhibition of acetylcholinesterase...
Cognitive decline is a major non-motor complication in early Parkinson's disease (PD), but predicting its progression remains challenging. Using data ...
Psychotic disorders are marked by heterogeneity in symptoms and treatment response, yet efforts to develop clinically useful predictive models through...
BACKGROUND AND OBJECTIVE: Early and correct classification of neurodegenerative diseases like Alzheimer's Disease (AD) and Frontotemporal Dementia (FT...
BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia, mild cognitive impairment, and other diagnoses) ...
INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...
BACKGROUND: Accurate prediction of progressive Mild Cognitive Impairment (pMCI) versus stable MCI (sMCI) is crucial for early Alzheimer's disease (AD)...