Uniting Cognitive Models and AI: Early Alzheimer's Screening through Language Analysis
Z Liu - 2024 - trace.tennessee.edu
Alzheimer's Disease (AD) and related dementias (PwADRD) often lead to memory issues,
language difficulties, and cognitive impairments. These symptoms can cause social …
language difficulties, and cognitive impairments. These symptoms can cause social …
[HTML][HTML] Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …
as it declines concurrently with neurodegeneration. Consequently, speech and language …
A remote speech‐based AI system to screen for early Alzheimer's disease via smartphones
Introduction Artificial intelligence (AI) systems leveraging speech and language changes
could support timely detection of Alzheimer's disease (AD). Methods The AMYPRED study …
could support timely detection of Alzheimer's disease (AD). Methods The AMYPRED study …
Artificial intelligence tools to evaluate language and speech patterns in Alzheimer's disease
Background Speech and language problems are one of the earliest signs of
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …
neurodegenerative diseases including Alzheimer's disease (AD), but they are often difficult …
Review of assessment methods for dementia
M Parsapoor, PA Menard… - Alzheimer's & Dementia, 2023 - Wiley Online Library
Background More than 50 million people worldwide live with various types of dementia,
which incorporates a progressive decline in patients' cognition. Early detection of dementia …
which incorporates a progressive decline in patients' cognition. Early detection of dementia …
Artificial Intelligence in Geriatric Mental Health: Recent Advances in Clinical Research
With the rise of wearable sensors, advancement in comprehensible artificial intelligence (AI)
algorithms, and growing acceptance of AI in medicine, AI has great potential to aid in …
algorithms, and growing acceptance of AI in medicine, AI has great potential to aid in …
Automated text‐level semantic markers of Alzheimer's disease
C Sanz, F Carrillo, A Slachevsky… - Alzheimer's & …, 2022 - Wiley Online Library
Introduction Automated speech analysis has emerged as a scalable, cost‐effective tool to
identify persons with Alzheimer's disease dementia (ADD). Yet, most research is …
identify persons with Alzheimer's disease dementia (ADD). Yet, most research is …
An investigation into interactional patterns for Alzheimer's Disease recognition in Natural dialogues
S Nasreen - 2024 - qmro.qmul.ac.uk
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by
memory loss, together with cognitive deficits affecting language, emotional affect, and …
memory loss, together with cognitive deficits affecting language, emotional affect, and …
Using explainable artificial intelligence to identify linguistic biomarkers of amyloid pathology in primary progressive aphasia
C Robertson, N Rezaii, D Hochberg, M Quimby… - medRxiv, 2024 - medrxiv.org
Introduction: Recent success has been achieved in Alzheimer's disease (AD) clinical trials
targeting amyloid beta, demonstrating a reduction in the rate of cognitive decline. However …
targeting amyloid beta, demonstrating a reduction in the rate of cognitive decline. However …
Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection
of pathological cognitive decline facilitates the greatest impact of restorative or preventative …
of pathological cognitive decline facilitates the greatest impact of restorative or preventative …