Latest AI and machine learning research in geriatrics for healthcare professionals.
Long-form question answering (LFQA) presents unique challenges for large language models, requirin...
Off-policy evaluation (OPE) estimates the performance of a target policy using offline data collec...
Alzheimer's disease (AD) is the most prevalent type of dementia. It is linked with a gradual decline...
The differential diagnosis of neurodegenerative dementias is a challenging clinical task, mainly b...
Text Image Machine Translation (TIMT)-the task of translating textual content embedded in images-i...
Cognitive frailty (CF), a clinical syndrome involving both physical frailty (PF) and impaired cognit...
Whisper fails to correctly transcribe dementia speech because persons with dementia (PwDs) often e...
Brain aging trajectories differ between males and females, yet the genetic factors underlying thes...
Recently, significant progress has been made in developing reasoning-capable Large Language Models...
Advances in markerless motion capture are expanding access to biomechanical movement analysis, mak...
Deep learning (DL) identification of vertebral fractures and osteoporosis in lateral spine radiograp...
BACKGROUND: Atrial fibrillation (AF) is one of the primary etiologies for ischemic stroke, and it is...
Brain network analysis plays a crucial role in diagnosing and monitoring neurodegenerative disorde...
Current large vision-language models (LVLMs) typically employ a connector module to link visual fe...
This study introduces Reverse-Speech-Finder (RSF), a groundbreaking neural network backtracking ar...
Front-end engineering involves a complex workflow where engineers conceptualize designs, translate...
Front-end engineering involves a complex workflow where engineers conceptualize designs, translate...
BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) continues to rise among middle-...
Peptide compounds demonstrate considerable potential as therapeutic agents due to their high targe...
To encode point clouds containing both geometry and attributes, most learning-based compression sc...
We tackle the problem of monocular-to-stereo video conversion and propose a novel architecture for...