Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's diseas...

Machine Learning Algorithm Helps Identify Non-Diagnosed Prodromal Alzheimer's Disease Patients in the General Population.

BACKGROUND: Recruiting patients for clinical trials of potential therapies for Alzheimer's disease (...

Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.

Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and d...

[Big data and artificial intelligence for diagnostic decision support in atypical dementia].

The differential diagnosis of atypical dementia remains difficult. The use of positron emission tomo...

Isometry Invariant Shape Descriptors for Abnormality Detection on Brain Surfaces Affected by Alzheimer's Disease.

Alzheimer's disease (AD), a progressive brain disorder, is the most common neurodegenerative disease...

Detection of Early Stage Alzheimer's Disease using EEG Relative Power with Deep Neural Network.

Electroencephalogram (EEG) signal based early diagnosis of Alzheimer's Disease (AD), especially a di...

Machine Learning-based Virtual Screening and Its Applications to Alzheimer's Drug Discovery: A Review.

BACKGROUND: Virtual Screening (VS) has emerged as an important tool in the drug development process,...

Development of Teaching Materials of Dementia by Incorporating a Communications Robot for Schoolchildren Who Are Dementia Supporters.

In this study, we aimed to teach elementary school students how to practically deal with elderly peo...

Data Mining and Machine Learning Methods for Dementia Research.

Patient data in clinical research often includes large amounts of structured information, such as ne...

Network pharmacology-based analysis of Chinese herbal Naodesheng formula for application to Alzheimer's disease.

Naodesheng (NDS) formula, which consists of Rhizoma Chuanxiong, Lobed Kudzuvine, Carthamus tinctoriu...

Machine Learning, Sentiment Analysis, and Tweets: An Examination of Alzheimer's Disease Stigma on Twitter.

OBJECTIVES: Social scientists need practical methods for harnessing large, publicly available datase...

Modelling engagement in dementia through behaviour. Contribution for socially interactive robotics.

In this paper, we present a novel tool to measure engagement in people with dementia playing board g...

Simulation-based design for robotic care device: Optimizing trajectory of transfer support robot.

This paper presents a framework of simulation-based design for robotic care devices developed to red...

Adding navigation, artificial audition and vital sign monitoring capabilities to a telepresence mobile robot for remote home care applications.

A telepresence mobile robot is a remote-controlled, wheeled device with wireless internet connectivi...

Further Development of a Robotic-Assisted Transfer Device.

The task of performing transfers, such as from a wheelchair to a bed, has a high risk of injury to ...

A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease.

Alzheimer's disease (AD) is a neurological degenerative disorder that leads to progressive mental de...

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