Latest AI and machine learning research in head trauma for healthcare professionals.
A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic c...
Permutation entropy is computationally efficient, robust to outliers, and effective to measure compl...
A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...
Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infecti...
We introduce JetViT, a novel family of hybrid-architecture Vision Transformer (ViT) models that matc...
With the rapid proliferation of generative models, such as diffusion models, digital watermarking ha...
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...
Adolescence is an important developmental period during which there are diverse changes in the brain...
Paired RGB-thermal data has shown significant utility across a range of applications, including imag...
Background: Catheter ablation is the most effective rhythm control strategy for atrial fibrillation ...
Post-traumatic stress disorder (PTSD) remains a significant psychiatric burden; despite growing biom...
Rapid and accurate situational awareness is essential for effective response during natural disaster...
ABSTRACT Background The clinical assessment of knee stability after an Anterior Cruciate Ligament (A...
Stroke starts as a focal vascular lesion, but its structural consequences often extend beyond the le...
Diffusion and flow-matching models scale because pretraining is supervised regression: a clean sampl...
Predictive models are often deployed through existing decision policies that stakeholders are reluct...
Background: People with Multiple Long-Term Conditions (MLTC) experience higher rates of organ failur...
This paper implements a Binary Neural Network (BNN) based YOLOv3-tiny-like object detector on a low-...
Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role i...
Aims To systematically evaluate how artificial intelligence and machine-learning (AI/ML) methods are...