Latest AI and machine learning research in geriatrics for healthcare professionals.
We used data mining to predict the attitudes of 527 caregivers towards the pros and cons of using ro...
INTRODUCTION: Dementia is a major cause of disability among the elderly, imposing significant financ...
We applied machine learning techniques to build models that predict perceived risks and benefits of ...
Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing ...
Falls pose a significant risk, especially among elderly persons. Recently, radar sensors have been e...
Purpose: The primary goal of this study is to explore the application of evaluation metrics to dif...
Long-range dependencies are critical for understanding genomic structure and function, yet most co...
Postoperative delirium (POD), a severe neuropsychiatric complication affecting nearly 50% of high-...
Objective: Zero-shot methodology promises to cut down on costs of dataset annotation and domain ex...
The population of older adults is steadily increasing, with a strong preference for aging-in-place...
Alzheimer's disease (AD) leads to progressive cognitive decline, making early detection crucial fo...
We propose an end-to-end trainable, cross-category method for reconstructing multiple man-made art...
Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet...
Accurate and real-time three-dimensional (3D) pose estimation is challenging in resource-constrain...
Image retargeting aims to change the aspect-ratio of an image while maintaining its content and st...
Human activity recognition is increasingly vital for supporting independent living, particularly f...
Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potentia...
Efficiently understanding long-form videos remains a significant challenge in computer vision. In ...
Previous research has established type 2 diabetes mellitus as a significant risk factor for various ...
Objective: Traditional phone-based surveys are among the most accessible and widely used methods t...
End-to-end autonomous driving has achieved remarkable progress by integrating perception, predicti...