Revolutionizing the early detection of Alzheimer's disease through non-invasive biomarkers: the role of artificial intelligence and deep learning

AG Vrahatis, K Skolariki, MG Krokidis, K Lazaros… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is now classified as a silent pandemic due to concerning current
statistics and future predictions. Despite this, no effective treatment or accurate diagnosis …

Speech and language markers of neurodegeneration: a call for global equity

AM García, J de Leon, BL Tee, DE Blasi… - Brain, 2023 - academic.oup.com
In the field of neurodegeneration, speech and language assessments are useful for
diagnosing aphasic syndromes and for characterizing other disorders. As a complement to …

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review

J Zhang, J Wu, Y Qiu, A Song, W Li, X Li… - Computers in Biology and …, 2023 - Elsevier
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

A transfer learning method for detecting Alzheimer's disease based on speech and natural language processing

N Liu, K Luo, Z Yuan, Y Chen - Frontiers in Public Health, 2022 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …

Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech

M Martinc, F Haider, S Pollak, S Luz - Frontiers in Aging Neuroscience, 2021 - frontiersin.org
Background: Advances in machine learning (ML) technology have opened new avenues for
detection and monitoring of cognitive decline. In this study, a multimodal approach to …

Toolkit to Examine Lifelike Language (TELL): An app to capture speech and language markers of neurodegeneration

AM García, F Johann, R Echegoyen… - Behavior Research …, 2023 - Springer
Automated speech and language analysis (ASLA) is a promising approach for capturing
early markers of neurodegenerative diseases. However, its potential remains …

Biosensors toward behavior detection in diagnosis of alzheimer's disease

X Sun, X Sun, Q Wang, X Wang, L Feng… - … in Bioengineering and …, 2022 - frontiersin.org
In recent years, a huge number of individuals all over the world, elderly people, in particular,
have been suffering from Alzheimer's disease (AD), which has had a significant negative …

Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening

A Li, J Li, D Zhang, W Wu, J Zhao… - Frontiers in Human …, 2023 - frontiersin.org
Introduction Advances in mobile computing platforms and the rapid development of
wearable devices have made possible the continuous monitoring of patients with mild …

Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment

A Li, C Xue, R Wu, W Wu, J Zhao… - International Journal of …, 2024 - Taylor & Francis
Early diagnosis of mild cognitive impairment (MCI) is pivotal in mitigating the risk of cognitive
impairment and the onset of dementia. However, prevailing clinical cognitive screening tests …

Effects of different virtual reality technology driven dual-tasking paradigms on posture and saccadic eye movements in healthy older adults

Y Imaoka, A Flury, L Hauri, ED de Bruin - Scientific Reports, 2022 - nature.com
Postural sway and eye movements are potential biomarkers for dementia screening.
Assessing the two movements comprehensively could improve the understanding of …