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Current advances in digital cognitive assessment for preclinical Alzheimer's disease
There is a pressing need to capture and track subtle cognitive change at the preclinical
stage of Alzheimer's disease (AD) rapidly, cost‐effectively, and with high sensitivity …
stage of Alzheimer's disease (AD) rapidly, cost‐effectively, and with high sensitivity …
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques
Neurodegenerative diseases have shown an increasing incidence in the older population in
recent years. A significant amount of research has been conducted to characterize these …
recent years. A significant amount of research has been conducted to characterize these …
An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …
tools for automatically detecting and monitoring disease progression. While previous studies …
Artificial intelligence for cognitive health assessment: state-of-the-art, open challenges and future directions
The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …
many researchers to explore ways to automate the process to make it more objective and to …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Speech-and language-based classification of Alzheimer's disease: a systematic review
Background: Alzheimer's disease (AD) has paramount importance due to its rising
prevalence, the impact on the patient and society, and the related healthcare costs …
prevalence, the impact on the patient and society, and the related healthcare costs …
[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 …
Applications of artificial intelligence in the neuropsychological assessment of dementia: A systematic review
I Veneziani, A Marra, C Formica, A Grimaldi… - Journal of Personalized …, 2024 - mdpi.com
In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
Language impairment in Alzheimer's disease—robust and explainable evidence for ad-related deterioration of spontaneous speech through multilingual machine …
Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …
worldwide and is most prominently associated with broad cognitive decline, including …
Predicting MCI status from multimodal language data using cascaded classifiers
Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …
detection of mild cognitive impairment (MCI). Most studies combining language processing …