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Related papers: ADAgent: LLM Agent for Alzheimer's Disease Analysi…

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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

Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis is challenging due to subtle symptoms and varied presentations, often leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Yifei Chen , Shenghao Zhu , Zhaojie Fang , Chang Liu , Binfeng Zou , Yuhe Wang , Shuo Chang , Fan Jia , Feiwei Qin , Jin Fan , Yong Peng , Changmiao Wang

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease affecting 50 million people worldwide. Low-cost, accurate identification of key markers of AD is crucial for timely diagnosis and intervention. Language impairment is one…

Computation and Language · Computer Science 2025-05-27 Tingyu Mo , Jacqueline C. K. Lam , Victor O. K. Li , Lawrence Y. L. Cheung

Alzheimer's disease (AD) is a growing global health challenge as populations age, and timely, accurate diagnosis is essential to reduce individual and societal burden. However, real-world AD assessment is hampered by incomplete,…

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…

Alzheimers Disease (AD) is a progressive neurodegenerative disorder that poses significant challenges in its early diagnosis, often leading to delayed treatment and poorer outcomes for patients. Traditional diagnostic methods, typically…

Machine Learning · Computer Science 2025-08-06 Tatwadarshi P Nagarhalli , Sanket Patil , Vishal Pande , Uday Aswalekar , Prafulla Patil

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease characterized by progressive cognitive decline as its main symptom. In the research field of deep learning-assisted diagnosis of AD, traditional convolutional neural…

Image and Video Processing · Electrical Eng. & Systems 2025-07-15 Yang Ming , Jiang Shi Zhong , Zhou Su Juan

Multimodal neuroimaging analysis often involves complex, modality-specific preprocessing workflows that require careful configuration, quality control, and coordination across heterogeneous toolchains. Beyond preprocessing, downstream…

Artificial Intelligence · Computer Science 2026-05-08 Lujia Zhong , Yihao Xia , Jianwei Zhang , Shuo huang , Jiaxin Yue , Mingyang Xia , Yonggang Shi

Alzheimer's disease (AD) presents a complex, multifaceted challenge to patients, caregivers, and the healthcare system, necessitating integrated and dynamic support solutions. While artificial intelligence (AI) offers promising avenues for…

Multiagent Systems · Computer Science 2025-10-13 Adib Bazgir , Amir Habibdoust , Xing Song , Yuwen Zhang

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

Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet their accuracy and depth remain limited in specialized domains such as Alzheimer's disease (AD), a growing global health challenge. To…

Early diagnosis of Alzheimer's disease and related dementias (ADRD) is critical for timely intervention, yet most diagnoses are delayed until advanced stages. While comprehensive patient narratives are essential for accurate diagnosis,…

Human-Computer Interaction · Computer Science 2026-01-28 Andrew G. Breithaupt , Nayoung Choi , James D. Finch , Jeanne M. Powell , Arin L. Nelson , Oz A. Alon , Howard J. Rosen , Jinho D. Choi

Dementia is a syndrome characterised by the decline of different cognitive abilities. Alzheimer's Disease (AD) is the most common dementia affecting cognitive domains such as memory and learning, perceptual-motion or executive function.…

Computer Vision and Pattern Recognition · Computer Science 2018-10-26 Juan Manuel Fernández Montenegro

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

Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high variability in patient data, limited access to specialized diagnostic tests, and overreliance on single-type indicators. These challenges are…

Quantitative Methods · Quantitative Biology 2025-03-05 Yizong Xing , Dhita Putri Pratama , Yuke Wang , Yufan Zhang , Brian E. Chapman

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

Alzheimer's disease (AD) diagnosis requires integrating neuroimaging with heterogeneous clinical evidence and reasoning under established criteria, yet most multimodal models remain opaque and weakly guideline-aligned. We present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Qiuhui Chen , Yushan Deng , Xuancheng Yao , Yi Hong

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

Alzheimer's Disease (AD) and related dementia are a growing global health challenge due to the aging population. In this paper, we present ADMarker, the first end-to-end system that integrates multi-modal sensors and new federated learning…

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
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