Latest AI and machine learning research in geriatrics for healthcare professionals.
Recent progress in learning-based image compression has demonstrated that end-to-end optimization ca...
Purpose: This study aimed to compare the reliability of myopia-related information from AI chatbots ...
Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...
Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from o...
Motion forecasting aims to predict the future trajectories of dynamic agents in the scene, enabling ...
Fetal ultrasound (US) is the primary imaging modality for prenatal screening, yet its interpretation...
As language models (LMs) evolve from chat assistants to long-horizon agents capable of multi-step re...
Motivation: Long-read metagenomic sequencing improves assembly contiguity and enables genome-resolve...
Unified multimodal models hold the promise of generating extensive, interleaved narratives, weaving ...
Medical image segmentation is undergoing a paradigm shift from conventional visual pattern matching ...
Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning t...
Large-scale biomedical vision-language models (VLMs) adapted on high-end imaging (e.g., CT) often fa...
Orofacial clefts are among the most common congenital craniofacial abnormalities, yet accurate prena...
Alzheimer's disease (AD) is a complex neurodegenerative disorder with multifactorial etiology and wi...
Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extend...
Radiologists highly desire fully automated AI for radiology report generation (R2G), yet existing ap...
Epigenetic clocks estimate biological age from DNA methylation patterns at CpG sites, providing robu...
Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnos...
Background: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decl...
Classical radiomic features are designed to quantify image appearance and intensity patterns. Compar...
Reliable Alzheimer's disease (AD) diagnosis increasingly relies on multimodal assessments combining ...