Latest AI and machine learning research in surveys for healthcare professionals.
Our long-term goal is to enable a robot to engage in partner dance for use in rehabilitation therapy...
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate res...
A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vector...
Cognitive behavior therapy (CBT) is an effective treatment for social anxiety disorder (SAD), but ma...
Outcomes from 5 years of treatment with agalsidase alfa enzyme replacement therapy (ERT) for Fabry d...
Expert opinion plays an important role when choosing clusters of chemical compounds for further inve...
Computerizing paper-based CPG and then executing them can provide evidence-informed decision support...
The consistency of propensity score (PS) estimators relies on correct specification of the PS model....
BACKGROUND: Validated training exercises are essential tools for surgeons as they develop technical ...
Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...
Importance: Patients increasingly use artificial intelligence (AI) for health-related conversations,...
Shadows are observable consequences of latent physical causes, arising from the interaction between ...
Frontier coding agents are becoming increasingly adept at 3D modeling. Yet, they still face challeng...
Background: The first thousand days are a sensitive window for child health and social health inequa...
A selective classifier may be claimed to satisfy a risk-coverage contract if some rule from a predec...
One-step generative models enable fast text-guided image editing, yet they often introduce unintende...
Models are updated repeatedly, and an update that looks better on validation data but not on new dat...
Multi-modal Large Language Models (MLLMs) have seen broad adoption, but their biases are still far l...
Multimodal inputs may be missing or degraded, raising distinct questions of evidence availability an...
Medical image segmentation remains challenging when targets exhibit limited visual distinction, irre...
Medical image segmentation remains challenging when targets exhibit limited visual distinction, irre...