Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
OBJECTIVE: This study aims to automate the prediction of Mini-Mental State Examination (MMSE) scores...
OBJECTIVES: This study aims to improve the ethical use of machine learning (ML)-based clinical predi...
Looking at caregivers' faces is important for early social development, and there is a concomitant i...
Given the complexity and multifactorial nature of Alzheimer's disease, investigating potential drug-...
Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the USA alone. T...
Alzheimer's disease (AD) is a neurocognitive disorder that deteriorates memory and impairs cognitive...
Purpose To extend a previously developed machine learning algorithm for harmonizing brain volumetric...
BACKGROUND: Accurate diagnosis and classification of Alzheimer's disease (AD) are crucial for effect...
Although omics and multi-omics approaches are the most used methods to create signature arrays for l...
Dynamic prediction models capable of retaining accuracy by evolving over time could play a significa...
Dementia is a neurodegenerative disorder that has been growing among elder people over the past de...
Recent advancements in generative AI have flourished the development of highly adept Large Languag...
Alzheimer's Disease (AD) is a significant and growing public health concern. Investigating alterat...
BACKGROUND/AIMS: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that severely ...
Evaluation metric of visual captioning is important yet not thoroughly explored. Traditional metri...
The Mapper algorithm is an essential tool for visualizing complex, high dimensional data in topolo...
White matter hyperintensities (WMH) of presumed vascular origin are a magnetic resonance imaging (MR...
BACKGROUND: Caregiver burden significantly affects both patients and caregivers but is often overloo...
The aging society urgently requires scalable methods to monitor cognitive decline and identify soc...
An interpretable machine learning (ML) framework is introduced to enhance the diagnosis of Mild Co...
Automatic Speech Recognition (ASR) plays an important role in speech-based automatic detection of ...