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 …

[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 …

A remote speech‐based AI system to screen for early Alzheimer's disease via smartphones

E Fristed, C Skirrow, M Meszaros… - Alzheimer's & …, 2022 - Wiley Online Library
Introduction Artificial intelligence (AI) systems leveraging speech and language changes
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

A Favaro, S Motley, QM Samus, A Butala… - Alzheimer's & …, 2022 - Wiley Online Library
Background Speech and language problems are one of the earliest signs of
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 …

Artificial Intelligence in Geriatric Mental Health: Recent Advances in Clinical Research

E Lee, H Karim, A Iaboni, H Sekhon - The American Journal of Geriatric …, 2022 - Elsevier
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 …

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 …

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 …

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 …

Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review

SA Graham, EE Lee, DV Jeste, R Van Patten… - Psychiatry …, 2020 - Elsevier
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 …