Latest AI and machine learning research in geriatrics for healthcare professionals.
The continuous improvements on image compression with variational autoencoders have lead to learne...
The National Institute on Aging (NIA) is at the forefront of leveraging advances in artificial intel...
OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among o...
BACKGROUND: As the global population ages healthcare challenges are escalating. Frailty, a clinical ...
End-to-end autonomous driving has emerged as a dominant paradigm, yet its highly entangled black-b...
The visual-based SLAM (Simultaneous Localization and Mapping) is a technology widely used in appli...
Accurate sleep stage classification is essential for diagnosing sleep disorders, particularly in a...
End-to-end multi-modal planning is a promising paradigm in autonomous driving, enabling decision-m...
A central challenge in modern language models (LMs) is intrinsic hallucination: the generation of ...
Despite recent progress in vision-language models (VLMs), holistic understanding of long-form vide...
Retrieval augmented generation (RAG) has shown great power in improving Large Language Models (LLM...
Deep transformer models have been used to detect linguistic anomalies in patient transcripts for e...
Image matching, which establishes correspondences between two-view images to recover 3D structure ...
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasur...
This paper introduces QA-HFL, a quality-aware hierarchical federated learning framework that effic...
Real-world applications like video gaming and virtual reality often demand the ability to model 3D...
Deep learning models have shown strong performance in classifying Alzheimer's disease (AD) from R2...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that leads to dementia, and e...
Clinical note generation aims to automatically produce free-text summaries of a patient's conditio...
Automated interpretation of CT images-particularly localizing and describing abnormal findings acr...
The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug D...