Latest AI and machine learning research in geriatrics for healthcare professionals.
Background Individual clinical cognitive assessments (CCA) for Alzheimer's disease (AD) provide broa...
ABSTRACT Background: RNA editing is a post-transcriptional modification that alters the sequence of ...
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the cl...
Reliable recognition of standard cine cardiac MRI views is essential because each view determines wh...
Referring multi-object tracking (RMOT) is a task of associating all the objects in a video that sema...
We present Camyla, a system for fully autonomous research within the scientific domain of medical im...
Reconstructing visual stimuli from non-invasive electroencephalography (EEG) remains challenging due...
The advent of agentic multimodal models has empowered systems to actively interact with external env...
Video depth estimation is essential for providing 3D scene structure in applications ranging from au...
Frailty and functional decline strongly influence treatment tolerance and outcomes in older patients...
Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only th...
Developing optical systems for free-space applications requires simulation tools that accurately cap...
Decreasing sequence length is a common way to accelerate transformers, but prior token reduction wor...
Autonomous highway driving, especially for long-haul heavy trucks, requires detecting objects at lon...
Alzheimer's disease (AD) is a neurodegenerative disorder that affects more than seven million people...
Computer vision models for chest X-ray interpretation hold significant promise for global healthcare...
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...
End-to-end autonomous driving models based on Vision-Language-Action (VLA) architectures have shown ...
We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all mul...
The automated evaluation of cognitive status utilizing multimedia technologies presents a promising ...
This paper proposes an end-to-end shared attention estimation method via group detection. Most previ...