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Related papers: Automatic Reminiscence Therapy for Dementia

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Mild-stage dementia patients primarily experience two critical symptoms: severe memory loss and emotional instability. To address these challenges, we propose DEMENTIA-PLAN, an innovative retrieval-augmented generation framework that…

Artificial Intelligence · Computer Science 2025-03-28 Yutong Song , Chenhan Lyu , Pengfei Zhang , Sabine Brunswicker , Nikil Dutt , Amir Rahmani

Alzheimer's Dementia (AD) is an incurable, debilitating, and progressive neurodegenerative condition that affects cognitive function. Early diagnosis is important as therapeutics can delay progression and give those diagnosed vital time.…

Machine Learning · Computer Science 2023-02-28 Thomas Searle , Zina Ibrahim , Richard Dobson

Alzheimer's disease (AD) is the most common type of dementia accompanied with brain atrophy. Structural measurements of brain atrophy in specific brain structures such as hippocampus using magnetic resonance imaging (MRI) have been reported…

Medical Physics · Physics 2016-05-10 Kenya Murase , Naohiko Gondo , Tsutomu Soma

In this paper, the robot-assisted Reminiscence Therapy (RT) is studied as a psychosocial intervention to persons with dementia (PwDs). We aim at a conversation strategy for the robot by reinforcement learning to stimulate the PwD to talk.…

Robotics · Computer Science 2021-09-07 Fengpei Yuan , Ran Zhang , Dania Bilal , Xiaopeng Zhao

Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Huy-Dung Nguyen , Michaël Clément , Boris Mansencal , Pierrick Coupé

Alzheimer's dementia (AD) is of increasing concern as populations achieve longer lifespans. Many of the recent failed AD clinical trials recruiting cognitively intact individuals had a low number of AD events and were thus underpowered.…

Methodology · Statistics 2025-03-21 Julia Gallini , Zach Baucom , Yorghos Tripodis

A key issue to Alzheimer's disease clinical trial failures is poor participant selection. Participants have heterogeneous cognitive trajectories and many do not decline during trials, which reduces a study's power to detect treatment…

Quantitative Methods · Quantitative Biology 2022-05-05 Angela Tam , César Laurent , Serge Gauthier , Christian Dansereau

Reminiscence activities, which involve recalling and sharing past experiences, have proven beneficial for improving cognitive function, mood, and overall well-being. However, urbanization has led to the disappearance of familiar…

Human-Computer Interaction · Computer Science 2025-09-09 Ruohao Li , Jiawei Li , Jia Sun , Zhiqing Wu , Zisu Li , Ziyan Wang , Ge Lin Kan , Mingming Fan

Early detection of dementia is critical for timely medical intervention and improved patient outcomes. Neuropsychological tests are widely used for cognitive assessment but have traditionally relied on manual scoring. Automatic dementia…

Machine Learning · Computer Science 2025-07-15 Liming Wang , Saurabhchand Bhati , Cody Karjadi , Rhoda Au , James Glass

Alzheimer's disease (AD) is the main cause of dementia which is accompanied by loss of memory and may lead to severe consequences in peoples' everyday life if not diagnosed on time. Very few works have exploited transformer-based networks…

Computation and Language · Computer Science 2022-08-15 Loukas Ilias , Dimitris Askounis

Alzheimer's disease (AD) is a progressive and irreversible brain disorder that unfolds over the course of 30 years. Therefore, it is critical to capture the disease progression in an early stage such that intervention can be applied before…

Machine Learning · Computer Science 2024-09-02 Yipei Wang , Bing He , Shannon Risacher , Andrew Saykin , Jingwen Yan , Xiaoqian Wang

Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's…

Computer Vision and Pattern Recognition · Computer Science 2017-12-21 Jyoti Islam , Yanqing Zhang

Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clinical research advances in brain aging have focused on the…

Computation and Language · Computer Science 2021-02-25 Swati Padhee , Anurag Illendula , Megan Sadler , Valerie L. Shalin , Tanvi Banerjee , Krishnaprasad Thirunarayan , William L. Romine

Automatic detection of Alzheimer's dementia by speech processing is enhanced when features of both the acoustic waveform and the content are extracted. Audio and text transcription have been widely used in health-related tasks, as spectral…

Audio and Speech Processing · Electrical Eng. & Systems 2020-08-12 Edward L. Campbell , Laura Docío-Fernández , Javier Jiménez Raboso , Carmen García-Mateo

The ageing population trend is correlated with an increased prevalence of acquired cognitive impairments such as dementia. Although there is no cure for dementia, a timely diagnosis helps in obtaining necessary support and appropriate…

Computer Vision and Pattern Recognition · Computer Science 2021-01-06 Xing Liang , Anastassia Angelopoulou , Epaminondas Kapetanios , Bencie Woll , Reda Al-batat , Tyron Woolfe

Simulating dementia patients with large language models (LLMs) is challenging due to the need to jointly model cognitive impairment, emotional dynamics, and nonverbal behaviors over long conversations. We present DemMA, an expert-guided…

Multiagent Systems · Computer Science 2026-01-13 Yutong Song , Jiang Wu , Kazi Sharif , Honghui Xu , Nikil Dutt , Amir Rahmani

Alzheimer's Disease (AD) is the most common type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the manual study of MRI…

Machine Learning · Computer Science 2019-12-11 Rishu Garg , Rekh Ram Janghel , Yogesh Rathore

A number of life threatening neuro-degenerative disorders had degraded the quality of life for the older generation in particular. Dementia is one such symptom which may lead to a severe condition called Alzheimer's disease if not detected…

Neural and Evolutionary Computing · Computer Science 2024-02-01 Anuvab Sen , Udayon Sen , Subhabrata Roy

This study explores a novel approach to advancing dementia care by integrating socially assistive robotics, reinforcement learning (RL), large language models (LLMs), and clinical domain expertise within a simulated environment. This…

Artificial Intelligence · Computer Science 2025-01-30 Fengpei Yuan , Nehal Hasnaeen , Ran Zhang , Bryce Bible , Joseph Riley Taylor , Hairong Qi , Fenghui Yao , Xiaopeng Zhao

Alzheimer's disease (AD), defined as an abnormal buildup of amyloid plaques and tau tangles in the brain can be diagnosed with high accuracy based on protein biomarkers via PET or CSF analysis. However, due to the invasive nature of…

Machine Learning · Computer Science 2026-01-27 Megan A. Witherow , Michael L. Evans , Ahmed Temtam , Hamid R. Okhravi , Khan M. Iftekharuddin
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