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Alzheimer's Disease (AD) is the most widespread neurodegenerative disease, affecting over 50 million people across the world. While its progression cannot be stopped, early and accurate diagnostic testing can drastically improve quality of…

Machine Learning · Computer Science 2021-01-11 Vishnu Ram Sampathkumar

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…

Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really…

Signal Processing · Electrical Eng. & Systems 2024-04-02 Arezoo Borji , Taha-Hossein Hejazi , Abbas Seifi

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 most prevalent neurodegenerative disorder, primarily affecting the elderly population and leading to significant cognitive decline. This decline manifests in various mental faculties such as attention,…

Machine Learning · Computer Science 2025-04-22 Emine Akpinar

It is acknowledged that the most common cause of dementia worldwide is Alzheimer's disease (AD). This condition progresses in severity from mild to severe and interferes with people's everyday routines. Early diagnosis plays a critical role…

Image and Video Processing · Electrical Eng. & Systems 2024-09-30 Sajjad Aghasi Javid , Mahmood Mohassel Feghhi

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 patients gradually lose their ability to think, behave, and interact with others. Medical history, laboratory tests, daily activities, and personality changes can all be used to diagnose the disorder. A series of time-consuming…

Machine Learning · Computer Science 2022-12-02 Md. Sharifur Rahman , Professor Girijesh Prasad

Alzheimer's disease (AD) is one of the most common public health issues the world is facing today. This disease has a high prevalence primarily in the elderly accompanying memory loss and cognitive decline. AD detection is a challenging…

Image and Video Processing · Electrical Eng. & Systems 2022-04-04 Zahraa Sh. Aaraji , Hawraa H. Abbas

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

United States healthcare systems are struggling to meet the growing demand for neurological care, particularly in Alzheimer's disease and related dementias (ADRD). Generative AI built on language models (LLMs) now enables agentic AI systems…

There has been a growing interest in HCI to understand the specific technological needs of people with dementia and supporting them in self-managing daily activities. One of the most difficult challenges to address is supporting the…

Human-Computer Interaction · Computer Science 2022-11-22 Hanuma Teja Maddali , Emma Dixon , Alisha Pradhan , Amanda Lazar

Alzheimer's Disease Analysis Model (ADAM) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome profiles, clinical datasets, and external knowledge bases, to…

Artificial Intelligence · Computer Science 2025-08-22 Ziyuan Huang , Vishaldeep Kaur Sekhon , Roozbeh Sadeghian , Maria L. Vaida , Cynthia Jo , Doyle Ward , Vanni Bucci , John P. Haran

Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic identification of early signs of cognitive decline. However,…

Computation and Language · Computer Science 2019-10-02 Bahman Mirheidari , Yilin Pan , Traci Walker , Markus Reuber , Annalena Venneri , Daniel Blackburn , Heidi Christensen

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT which can conduct data collection, processing, and analysis about…

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

Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. Although recent advances…

Human-Computer Interaction · Computer Science 2026-03-23 Jiayue Melissa Shi , Dong Whi Yoo , Keran Wang , Violeta J. Rodriguez , Ravi Karkar , Koustuv Saha

Alzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent…

Image and Video Processing · Electrical Eng. & Systems 2025-02-11 Nasser A Alsadhan

Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease. Early and precise diagnosis of AD is crucial for timely intervention and treatment planning to alleviate the progressive neurodegeneration. However, most…

Image and Video Processing · Electrical Eng. & Systems 2025-07-29 Wenlong Hou , Guangqian Yang , Ye Du , Yeung Lau , Lihao Liu , Junjun He , Ling Long , Shujun Wang

Alzheimer's Disease (AD) is marked by significant inter-individual variability in its progression, complicating accurate prognosis and personalized care planning. This heterogeneity underscores the critical need for predictive models…

Machine Learning · Computer Science 2025-05-01 Gulsah Hancerliogullari Koksalmis , Bulent Soykan , Laura J. Brattain , Hsin-Hsiung Huang