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With the global population aging rapidly, Alzheimer's disease (AD) is particularly prominent in older adults, which has an insidious onset and leads to a gradual, irreversible deterioration in cognitive domains (memory, communication,…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-15 Jinchao Li , Kaitao Song , Junan Li , Bo Zheng , Dongsheng Li , Xixin Wu , Xunying Liu , Helen Meng

Alzheimer's Disease (AD) ravages the cognitive ability of more than 5 million Americans and creates an enormous strain on the health care system. This paper proposes a machine learning predictive model for AD development without medical…

Quantitative Methods · Quantitative Biology 2020-06-17 Courtney Cochrane , David Castineira , Nisreen Shiban , Pavlos Protopapas

Alzheimer's disease (AD) is an irreversible neurode generative disease of the brain.The disease may causes memory loss, difficulty communicating and disorientation. For the diagnosis of Alzheimer's disease, a series of scales are often…

Image and Video Processing · Electrical Eng. & Systems 2022-01-13 Yelu Gao , Huang Huang , Lian Zhang

Alzheimer's disease (AD) stands as the predominant cause of dementia, characterized by a gradual decline in speech and language capabilities. Recent deep-learning advancements have facilitated automated AD detection through spontaneous…

Computation and Language · Computer Science 2024-09-20 Chin-Po Chen , Jeng-Lin Li

Alzheimer's Disease (AD), as the most devastating neurodegenerative disease worldwide, has reached nearly 10 million new cases annually. Current technology provides unprecedented opportunities to study the progression and etiology of this…

Neurons and Cognition · Quantitative Biology 2022-11-14 Zibin Zhao

Early prediction of Alzheimer's disease (AD) is crucial for timely intervention and treatment. This study aims to use machine learning approaches to analyze longitudinal electronic health records (EHRs) of patients with AD and identify…

Machine Learning · Computer Science 2025-04-29 Rumeng Li , Xun Wang , Dan Berlowitz , Brian Silver , Wen Hu , Heather Keating , Raelene Goodwin , Weisong Liu , Honghuang Lin , Hong Yu

We present our submission to the ICASSP-SPGC-2023 ADReSS-M Challenge Task, which aims to investigate which acoustic features can be generalized and transferred across languages for Alzheimer's Disease (AD) prediction. The challenge consists…

Computation and Language · Computer Science 2025-01-14 Xuchu Chen , Yu Pu , Jinpeng Li , Wei-Qiang Zhang

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 and more scalable alternative to other clinical screening…

Machine Learning · Computer Science 2022-08-09 Yi Wang , Tianzi Wang , Zi Ye , Lingwei Meng , Shoukang Hu , Xixin Wu , Xunying Liu , Helen Meng

Alzheimers Disease AD is an acute neuro disease that degenerates the brain cells and thus leads to memory loss progressively. It is a fatal brain disease that mostly affects the elderly. It steers the decline of cognitive and biological…

Machine Learning · Computer Science 2023-04-20 Nair Bini Balakrishnan , P. S. Sreeja , Jisha Jose Panackal

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8 to 4.4 years after…

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

Research related to automatically detecting Alzheimer's disease (AD) is important, given the high prevalence of AD and the high cost of traditional methods. Since AD significantly affects the content and acoustics of spontaneous speech,…

Computation and Language · Computer Science 2020-08-05 Aparna Balagopalan , Benjamin Eyre , Frank Rudzicz , Jekaterina Novikova

Alzheimer's dementia (AD) is a neurodegenerative disorder with cognitive decline that commonly impacts language ability. This work extends the paired perplexity approach to detecting AD by using a recent large language model (LLM), the…

Computation and Language · Computer Science 2025-06-12 Yao Xiao , Heidi Christensen , Stefan Goetze

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

Alzheimer's disease (AD) is the fifth-leading cause of death among Americans aged 65 and older. Screening and early detection of AD and related dementias (ADRD) are critical for timely intervention and for identifying clinical trial…

Artificial Intelligence · Computer Science 2024-05-29 Jiankun Wang , Sumyeong Ahn , Taykhoom Dalal , Xiaodan Zhang , Weishen Pan , Qiannan Zhang , Bin Chen , Hiroko H. Dodge , Fei Wang , Jiayu Zhou

Alzheimer's disease (AD) is a progressive neurodegenerative disease most often associated with memory deficits and cognitive decline. With the aging population, there has been much interest in automated methods for cognitive impairment…

Audio and Speech Processing · Electrical Eng. & Systems 2023-03-07 Bastiaan Tamm , Rik Vandenberghe , Hugo Van hamme

Deep learning, a cutting-edge machine learning approach, outperforms traditional machine learning in identifying intricate structures in complex high-dimensional data, particularly in the domain of healthcare. This study focuses on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Nida Nasir , Muneeb Ahmed , Neda Afreen , Mustafa Sameer

Alzheimer's disease (AD) is a progressive and incurable neurodegenerative disease which destroys brain cells and causes loss to patient's memory. An early detection can prevent the patient from further damage of the brain cells and hence…

Image and Video Processing · Electrical Eng. & Systems 2021-01-11 Ali Nawaz , Syed Muhammad Anwar , Rehan Liaqat , Javid Iqbal , Ulas Bagci , Muhammad Majid

Alzheimer`s disease (AD)-related global healthcare cost is estimated to be $1 trillion by 2050. Currently, there is no cure for this disease; however, clinical studies show that early diagnosis and intervention helps to extend the quality…

Computers and Society · Computer Science 2020-05-27 Ning Wang , Fan Luo , Vishal Peddagangireddy , K. P. Subbalakshmi , R. Chandramouli

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