Latest AI and machine learning research in surveys for healthcare professionals.
Vision-Language Models (VLMs) such as CLIP are now foundational to multimodal systems, yet their rob...
Deep learning structure predictors, most prominently AlphaFold2 (the field-standard tool benchmarked...
White-light imaging (WLI) and narrow-band imaging (NBI) provide complementary views of endoscopic le...
Proxy outcomes (such as short-term behavioral signals, model predictions, or surrogate endpoints) ar...
Validated measures of pain catastrophizing primarily assess catastrophizing as a stable trait. Howev...
Compositional generalization is essential for robot to follow diverse instructions. However, pretrai...
INTRODUCTION: Cognitive syndrome diagnosis (Normal, Mild Cognitive Impairment (MCI), Dementia) is im...
Discovering the direct causes and effects of a target variable from observational data is a fundamen...
Computational modeling provides geometric insight into protein-protein interactions without requirin...
Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet ...
Standard evaluation of many recognition systems contains distribution shift by construction, since b...
Deep brain stimulation (DBS) is effective for treatment-refractory obsessive-compulsive disorder (OC...
This study focuses on the relationship between access to Advanced Neonatal Care (ANC) and fertility ...
Background: Post-stroke dysphagia (PSD) contributes to aspiration, pneumonia, malnutrition, prolonge...
Recent advances in Vision-Language Models (VLMs) have significantly improved image geo-localization,...
Real-time N-1 contingency screening in an energy management system trades assurance against cost: ve...
Objectives: Explore the perspectives of primary caregivers towards pediatric tissue-based research p...
Foundation models such as CLIP have enabled open-vocabulary object detectors that generalise to nove...
Raw images inherently suffer from noise due to the stochastic nature of light and sensor hardware im...
Purpose The application of machine learning (ML) to osteoporosis prediction has expanded rapidly, ye...
This study investigates the presence and propagation of bias within Neural Networks through a compre...