A systematic literature review of automatic Alzheimer's disease detection from speech and language
Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …
Disease (AD) detection using automatic language processing. We systematically review …
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 …
Deep learning-based speech analysis for Alzheimer's disease detection: a literature review
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
Deep learning for brain disorders: from data processing to disease treatment
In order to reach precision medicine and improve patients' quality of life, machine learning is
increasingly used in medicine. Brain disorders are often complex and heterogeneous, and …
increasingly used in medicine. Brain disorders are often complex and heterogeneous, and …
Exploring linguistic feature and model combination for speech recognition based automatic ad detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
delay progression. Speech based automatic AD screening systems provide a non-intrusive …
Exploiting prompt learning with pre-trained language models for alzheimer's disease detection
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to
delay further progression. Speech based automatic AD screening systems provide a non …
delay further progression. Speech based automatic AD screening systems provide a non …
Temporal speech parameters detect mild cognitive impairment in different languages: validation and comparison of the Speech-GAP Test® in English and Hungarian
J Kálmán, DP Devanand, G Gosztolya… - Current Alzheimer …, 2022 - ingentaconnect.com
Background: The development of automatic speech recognition (ASR) technology allows the
analysis of temporal (time-based) speech parameters characteristic of mild cognitive …
analysis of temporal (time-based) speech parameters characteristic of mild cognitive …
The generalizability of longitudinal changes in speech before Alzheimer's disease diagnosis
Background: Language impairment in Alzheimer's disease (AD) has been widely studied but
due to limited data availability, relatively few studies have focused on the longitudinal …
due to limited data availability, relatively few studies have focused on the longitudinal …
How Much Speech Data Is Needed for Tracking Language Change in Alzheimer's Disease? A Comparison of Random Length, 5-Min, and 1-Min Spontaneous …
Introduction: Changes in speech can act as biomarkers of cognitive decline in Alzheimer's
disease (AD). While shorter speech samples would promote data collection and analysis …
disease (AD). While shorter speech samples would promote data collection and analysis …