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Related papers: Exploring Multimodal Approaches for Alzheimer's Di…

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Alzheimer's Disease (AD) is a severe brain disorder, destroying memories and brain functions. AD causes chronically, progressively, and irreversibly cognitive declination and brain damages. The reliable and effective evaluation of early…

Image and Video Processing · Electrical Eng. & Systems 2021-01-07 Kuo Yang , Emad A. Mohammed

In diagnosing challenging conditions such as Alzheimer's disease (AD), imaging is an important reference. Non-imaging patient data such as patient information, genetic data, medication information, cognitive and memory tests also play a…

Machine Learning · Computer Science 2023-06-01 Yingjie Feng , Jun Wang , Xianfeng Gu , Xiaoyin Xu , Min Zhang

Alzheimer's Disease (AD) is the world's leading neurodegenerative disease, which often results in communication difficulties. Analysing speech can serve as a diagnostic tool for identifying the condition. The recent ADReSS challenge…

Computation and Language · Computer Science 2024-07-24 Lucía Gómez-Zaragozá , Simone Wills , Cristian Tejedor-Garcia , Javier Marín-Morales , Mariano Alcañiz , Helmer Strik

Alzheimer's Disease (AD) is the most common form of dementia in the United States. Sleep is one of the lifestyle-related factors that has been shown critical for optimal cognitive function in old age. However, there is a lack of research…

Alzheimers disease (AD) is a severe neurological brain disorder. It is not curable, but earlier detection can help improve symptoms in a great deal. The machine learning based approaches are popular and well motivated models for medical…

Image and Video Processing · Electrical Eng. & Systems 2024-05-17 Lilia Lazli

Alzheimer's disease (AD) is an irreversible devastative neurodegenerative disorder associated with progressive impairment of memory and cognitive functions. Its early diagnosis is crucial for the development of possible future treatment…

Computer Vision and Pattern Recognition · Computer Science 2020-04-07 Ahsan Bin Tufail , Qiu-Na Zhang , Yong-Kui Ma

Automated diagnosis of Alzheimer Disease(AD) from brain imaging, such as magnetic resonance imaging (MRI), has become increasingly important and has attracted the community to contribute many deep learning methods. However, many of these…

Image and Video Processing · Electrical Eng. & Systems 2024-03-01 Yifeng Wang , Ke Chen , Haohan Wang

We present an approach to automatic detection of Alzheimer's type dementia based on characteristics of spontaneous spoken language dialogue consisting of interviews recorded in natural settings. The proposed method employs additive logistic…

Audio and Speech Processing · Electrical Eng. & Systems 2018-11-27 Saturnino Luz , Sofia de la Fuente , Pierre Albert

Background: Alzheimer's disease and related dementias (ADRD) are progressive neurodegenerative conditions where early detection is vital for timely intervention and care. Spontaneous speech contains rich acoustic and linguistic markers that…

Computation and Language · Computer Science 2025-06-16 Jingyu Li , Lingchao Mao , Hairong Wang , Zhendong Wang , Xi Mao , Xuelei Sherry Ni

Alzheimer's disease (AD) is the most common form of dementia, which causes problems with memory, thinking and behavior. Growing evidence has shown that the brain connectivity network experiences alterations for such a complex disease.…

Methodology · Statistics 2020-05-29 Chen Hao , Guo Ying , He Yong , Ji Jiadong , Liu Lei , Shi Yufeng , Wang Yikai , Yu Long , Zhang Xinsheng

Alzheimer's Disease (AD) is a progressive neurodegenerative condition that adversely affects cognitive abilities. Language-related changes can be automatically identified through the analysis of outputs from linguistic assessment tasks,…

Alzheimer s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, where early detection is essential for timely intervention and improved patient outcomes. Traditional diagnostic methods are…

Multi-modal biological, imaging, and neuropsychological markers have demonstrated promising performance for distinguishing Alzheimer's disease (AD) patients from cognitively normal elders. However, it remains difficult to early predict when…

Computer Vision and Pattern Recognition · Computer Science 2019-01-08 Hongming Li , Yong Fan

Brain transcriptomics provides insights into the molecular mechanisms by which the brain coordinates its functions and processes. However, existing multimodal methods for predicting Alzheimer's disease (AD) primarily rely on imaging and…

Artificial Intelligence · Computer Science 2025-04-03 Shan Cong , Zhoujie Fan , Hongwei Liu , Yinghan Zhang , Xin Wang , Haoran Luo , Xiaohui Yao

Dementia, a prevalent neurodegenerative condition, is a major manifestation of Alzheimer's disease (AD). As the condition progresses from mild to severe, it significantly impairs the individual's ability to perform daily tasks…

Machine Learning · Computer Science 2023-11-06 Md Gulzar Hussain , Ye Shiren

Alzheimer's Disease (AD) is one of the most concerned neurodegenerative diseases. In the last decade, studies on AD diagnosis attached great significance to artificial intelligence (AI)-based diagnostic algorithms. Among the diverse…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Yechong Huang , Jiahang Xu , Yuncheng Zhou , Tong Tong , Xiahai Zhuang , the Alzheimer's Disease Neuroimaging Initiative

Alzheimer's disease is a common cognitive disorder in the elderly. Early and accurate diagnosis of Alzheimer's disease (AD) has a major impact on the progress of research on dementia. At present, researchers have used machine learning…

Sound · Computer Science 2024-02-20 Xiaohui Zhang , Wenjie Fu , Mangui Liang

Alzheimer's disease (AD) is associated with local (e.g. brain tissue atrophy) and global brain changes (loss of cerebral connectivity), which can be detected by high-resolution structural magnetic resonance imaging. Conventionally, these…

Machine Learning · Computer Science 2021-05-11 Sarah C. Brüningk , Felix Hensel , Catherine R. Jutzeler , Bastian Rieck

Autism spectrum disorder (ASD) can be defined as a neurodevelopmental disorder that affects how children interact, communicate and socialize with others. This disorder can occur in a broad spectrum of symptoms, with varying effects and…

Machine Learning · Computer Science 2021-10-08 Vikram Ramesh , Rida Assaf

Alzheimer's disease (AD) is a neuro-degenerative disease that can cause dementia and result severe reduction in brain function inhibiting simple tasks especially if no preventative care is taken. Over 1 in 9 Americans suffer from AD induced…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Paul K. Mandal , Rakesh Mahto
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