Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 4306-4326 of 8,142 articles
VLAS: Vision-Language-Action Model With Speech Instructions For Customized Robot Manipulation

Vision-language-action models (VLAs) have become increasingly popular in robot manipulation for th...

MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation

Vision-and-language navigation (VLN) is a key task in Embodied AI, requiring agents to navigate di...

The Relationship Between Head Injury and Alzheimer's Disease: A Causal Analysis with Bayesian Networks

This study examines the potential causal relationship between head injury and the risk of developi...

MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval

Accurately locating key moments within long videos is crucial for solving long video understanding...

Does RAG Really Perform Bad For Long-Context Processing?

The efficient processing of long context poses a serious challenge for large language models (LLMs...

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions

Mental health remains a critical global challenge, with increasing demand for accessible, effectiv...

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Long-context modeling is crucial for next-generation language models, yet the high computational c...

Developing Conversational Speech Systems for Robots to Detect Speech Biomarkers of Cognition in People Living with Dementia

This study presents the development and testing of a conversational speech system designed for rob...

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility

Access to health resources is a critical determinant of public well-being and societal resilience,...

NeuroXVocal: Detection and Explanation of Alzheimer's Disease through Non-invasive Analysis of Picture-prompted Speech

The early diagnosis of Alzheimer's Disease (AD) through non invasive methods remains a significant...

Analyzing Patient Daily Movement Behavior Dynamics Using Two-Stage Encoding Model

In the analysis of remote healthcare monitoring data, time series representation learning offers s...

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data

Identifying cognitive impairment within electronic health records (EHRs) is crucial not only for t...

Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases

The differential diagnosis of neurodegenerative diseases, characterized by overlapping symptoms, m...

Memory-based Ensemble Learning in CMR Semantic Segmentation

Existing models typically segment either the entire 3D frame or 2D slices independently to derive ...

Two-Stage Representation Learning for Analyzing Movement Behavior Dynamics in People Living with Dementia

In remote healthcare monitoring, time series representation learning reveals critical patient beha...

End-to-End triplet loss based fine-tuning for network embedding in effective PII detection

There are many approaches in mobile data ecosystem that inspect network traffic generated by appli...

On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms

To create usable and deployable Artificial Intelligence (AI) systems, there requires a level of as...

Multispectral Remote Sensing for Weed Detection in West Australian Agricultural Lands

The Kondinin region in Western Australia faces significant agricultural challenges due to pervasiv...

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Molecular communication (MC) provides a foundational framework for information transmission in the...

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