[HTML][HTML] Speech and language processing with deep learning for dementia diagnosis: A systematic review
M Shi, G Cheung, SR Shahamiri - Psychiatry Research, 2023 - Elsevier
Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …
the disease, their families, and medical and social services. Timely diagnosis of dementia …
Noninvasive automatic detection of Alzheimer's disease from spontaneous speech: a review
X Qi, Q Zhou, J Dong, W Bao - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Alzheimer's disease (AD) is considered as one of the leading causes of death among
people over the age of 70 that is characterized by memory degradation and language …
people over the age of 70 that is characterized by memory degradation and language …
Multimodal fusion for alzheimer's disease recognition
Y Ying, T Yang, H Zhou - Applied Intelligence, 2023 - Springer
Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia,
which has a great impact on social economics throughout the world. In the vast majority of …
which has a great impact on social economics throughout the world. In the vast majority of …
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages
TM Kim, J Son, JW Chun, Y Lee, DJ Kim, IY Choi… - Computers in Biology …, 2024 - Elsevier
Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
Exploring linguistic feature and model combination for speech recognition based automatic ad detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
Exploiting prompt learning with pre-trained language models for alzheimer's disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to
delay further progression. Speech based automatic AD screening systems provide a non …
delay further progression. Speech based automatic AD screening systems provide a non …
Alzheimer's disease recognition from spontaneous speech using large language models
We propose a method to automatically predict Alzheimer's disease from speech data using
the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive …
the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive …
Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech
L Ilias, D Askounis - Knowledge-Based Systems, 2023 - Elsevier
Alzheimer's disease (AD) constitutes a complex neurocognitive disease and is the main
cause of dementia. Although many studies have been proposed targeting at diagnosing …
cause of dementia. Although many studies have been proposed targeting at diagnosing …
Analysis of voice biomarkers for the detection of cognitive impairment
MR Pacheco-Lorenzo, H Christensen… - IEEE …, 2024 - ieeexplore.ieee.org
The objective of this work is to determine whether speech obtained from interactions with a
smart speaker can be used to predict the level of cognitive impairment (CI). We use a voice …
smart speaker can be used to predict the level of cognitive impairment (CI). We use a voice …
Alzheimer's disease recognition using graph neural network by leveraging image-text similarity from vision language model
Abstract Alzheimer's disease (AD), a progressive neurodegenerative condition, notably
impacts cognitive functions and daily activity. One method of detecting dementia involves a …
impacts cognitive functions and daily activity. One method of detecting dementia involves a …