[HTML][HTML] Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare
Precision Medicine implies a deep understanding of inter-individual differences in health
and disease that are due to genetic and environmental factors. To acquire such …
and disease that are due to genetic and environmental factors. To acquire such …
Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
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 …
Alzheimer's dementia recognition through spontaneous speech
The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a sco** 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 …
Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review
The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …
How to do things with (thousands of) words: Computational approaches to discourse analysis in Alzheimer's disease
Abstract Natural Language Processing (NLP) is an ever-growing field of computational
science that aims to model natural human language. Combined with advances in machine …
science that aims to model natural human language. Combined with advances in machine …
Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech
Background: Advances in machine learning (ML) technology have opened new avenues for
detection and monitoring of cognitive decline. In this study, a multimodal approach to …
detection and monitoring of cognitive decline. In this study, a multimodal approach to …
Exploring deep transfer learning techniques for Alzheimer's dementia detection
Examination of speech datasets for detecting dementia, collected via various speech tasks,
has revealed links between speech and cognitive abilities. However, the speech dataset …
has revealed links between speech and cognitive abilities. However, the speech dataset …
A comparison of connected speech tasks for detecting early Alzheimer's disease and mild cognitive impairment using natural language processing and machine …
Alzheimer's disease (AD) has a long pre-clinical period, and so there is a crucial need for
early detection, including of Mild Cognitive Impairment (MCI). Computational analysis of …
early detection, including of Mild Cognitive Impairment (MCI). Computational analysis of …
Speaker adaptation using spectro-temporal deep features for dysarthric and elderly speech recognition
Despite the rapid progress of automatic speech recognition (ASR) technologies targeting
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …
normal speech in recent decades, accurate recognition of dysarthric and elderly speech …