Recent advancements in generative artificial intelligence, particularly using large language
models (LLMs), are gaining increased public attention. We provide a perspective on the …

Alzheimer's disease (AD) is a growing global concern, exacerbated by an aging population
and the high costs associated with traditional detection methods. Recent research has …

Alzheimer's Disease (AD) is the world's leading neurodegenerative disease, which often
results in communication difficulties. Analysing speech can serve as a diagnostic tool for …

This work introduces a novel three-class annotation scheme for text-based dementia
classification in patients, based on their recorded visit interactions. Multiple models were …

Introduction The study aims to test whether an increase in memory load could improve the
efficacy in detection of Alzheimer's disease and prediction of the Mini-Mental State …

With the rapid advancements in large language model (LLM) technology and the
emergence of bioinformatics-specific language models (BioLMs), there is a growing need for …

Screening tests like the Montreal Cognitive Assessment (MoCA) can help diagnose mild
cognitive impairment (MCI). MoCA comprises subtests that span various cognitive domains …

This study explores the potential of acoustic features extracted from speech recordings for
detecting Alzheimer's Dementia (AD), employing a comprehensive approach that …

Dementia, primarily caused by neurodegenerative diseases like Alzheimer's disease (AD),
affects millions worldwide, making detection and monitoring crucial. To enable these tasks …

Alzheimer's disease (AD) is a weakening neurodegenerative disorder that affects millions of
individuals worldwide. This research work aims to redefine Alzheimer's disease (AD) …