Dementia affects the patient's memory and leads to language impairment. Research has
demonstrated that speech and language deterioration is often a clear indication of dementia …

Alzheimer's disease (AD) is a major public health priority. Hippocampus is one of the most
affected areas of the brain and is easily accessible as a biomarker using MRI images in …

This article presents a multilingual speech synthesis approach that leverages learned
phonetic representations to eliminate the need for pronunciation dictionaries in target …

This review paper explores recent advances in deep learning approaches for non-invasive
cognitive impairment detection. We examine various non-invasive indicators of cognitive …

Disease diagnosis represents a critical and arduous endeavor within the medical field.
Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to …

Dementia is a growing problem as our society ages, and detection methods are often
invasive and expensive. Recent deep-learning techniques can offer a faster diagnosis and …

In the context of Alzheimer's disease (AD), timely identification is paramount for effective
management, acknowledging its chronic and irreversible nature, where medications can …

This paper proposes a method of detecting dementia from the simultaneous speech and eye-
tracking recordings of subjects in a picture description task. First, automatic speech …

Alzheimer's Disease (AD) is a neurodegenerative disorder that significantly impacts a
patient's ability to communicate and organize language. Traditional methods for detecting …

Alzheimer's disease, a significant global health concern, necessitates early detection for
effective treatment and management. This research introduces an innovative method for …