[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 …
The Boston process approach and digital neuropsychological assessment: Past research and future directions
Neuropsychological assessment using the Boston Process Approach (BPA) suggests that
an analysis of the strategy or the process by which tasks and neuropsychological tests are …
an analysis of the strategy or the process by which tasks and neuropsychological tests are …
Artificial Intelligence-enabled end-to-end detection and assessment of alzheimer's disease using voice
There is currently no simple, widely available screening method for Alzheimer's disease
(AD), partly because the diagnosis of AD is complex and typically involves expensive and …
(AD), partly because the diagnosis of AD is complex and typically involves expensive and …
Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
Voice biomarkers as indicators of cognitive changes in middle and later adulthood
E Mahon, ME Lachman - Neurobiology of aging, 2022 - Elsevier
Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear
whether they are associated with normal cognitive aging. We assessed relationships …
whether they are associated with normal cognitive aging. We assessed relationships …
Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models
INTRODUCTION Identification of individuals with mild cognitive impairment (MCI) who are at
risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of …
risk of developing Alzheimer's disease (AD) is crucial for early intervention and selection of …
Using digital tools to advance Alzheimer's drug trials during a pandemic: the EU/US CTAD task force
The 2020 COVID-19 pandemic has disrupted Alzheimer's disease (AD) clinical studies
worldwide. Digital technologies may help minimize disruptions by enabling remote …
worldwide. Digital technologies may help minimize disruptions by enabling remote …
[PDF][PDF] Detecting Alzheimer's Disease using Interactional and Acoustic features from Spontaneous Speech
Alzheimer's Disease (AD) is a form of Dementia that manifests in cognitive decline including
memory, language, and changes in behavior. Speech data has proven valuable for inferring …
memory, language, and changes in behavior. Speech data has proven valuable for inferring …
[HTML][HTML] Validation of the remote automated ki: E speech biomarker for cognition in mild cognitive impairment: Verification and validation following DiME V3 framework
J Tröger, E Baykara, J Zhao, D Ter Huurne… - Digital …, 2022 - karger.com
Introduction: Progressive cognitive decline is the cardinal behavioral symptom in most
dementia-causing diseases such as Alzheimer's disease. While most well-established …
dementia-causing diseases such as Alzheimer's disease. While most well-established …
Clinical classification of memory and cognitive impairment with multimodal digital biomarkers
INTRODUCTION Early detection of Alzheimer's disease and cognitive impairment is critical
to improving the healthcare trajectories of aging adults, enabling early intervention and …
to improving the healthcare trajectories of aging adults, enabling early intervention and …