Alzheimer's disease (AD) and other neurodegenerative diseases such as Parkinson's
disease (PD) and Huntington's disease (HD) are associated with progressive cognitive …

The ADReSS-M Signal Processing Grand Challenge was held at the 2023 IEEE
International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023. The …

Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that
transcription is very time intensive. Methods that can reduce the required time and effort …

The development of noninvasive and cost-effective methods of detecting Alzheimer's
disease (AD) is essential for its early prevention and mitigation. We optimize the detection of …

Background Artificial intelligence models tailored to diagnose cognitive impairment have
shown excellent results. However, it is unclear whether large linguistic models can rival …

Neuropsychiatric disorders affect the lives of individuals from cognitive, emotional, and
behavioral aspects, impact the quality of their lives, and even lead to death. Outside the …

Dementia is a progressive neurological disorder that affects the daily lives of older adults,
impacting their verbal communication and cognitive function. Early diagnosis is important to …

This study evaluates the efficacy of GPT-4 in screening for Mild Cognitive Impairment (MCI)
in the elderly, comparing it with junior neurologists. MCI is a precursor to dementia …

Abstract Natural Language Processing (NLP) technology has the potential to provide a non-
invasive, cost-effective method using a timely intervention for detecting early-stage language …

This research focuses on developing improved diagnostic tools for Alzheimer's Disease
(AD), a condition impacting approximately 50 million individuals globally. In the paper, we …