Latest AI and machine learning research in head trauma for healthcare professionals.
Abstract Purpose Radiologic surveillance is essential for oropharyngeal cancer (OPC) survivors, guid...
Reinforcement learning (RL) post-training of Diffusion Transformers (DiTs) is prohibitively expensiv...
Post-traumatic epilepsy (PTE) is a severe complication of traumatic brain injury (TBI), yet early id...
Abstract Purpose: Brain metastases (BM) far exceed primary CNS tumours and constitute the majority w...
Post-traumatic epilepsy (PTE) is a severe complication of traumatic brain injury (TBI), yet early id...
Scientific reasoning models for biology combine language models with foundation models trained on mu...
Modern image classifiers widely adopt global average pooling (GAP) followed by a linear classificati...
Patients diagnosed with type 2 diabetes (T2D) are at increased risk of developing cardiovascular dis...
There is interest in the use of recent single-cell spatial transcriptomic technologies to gain biolo...
Post-traumatic stress disorder (PTSD) in veterans is characterized by persistent hyperarousal and co...
Decision-relevant building damage assessment is critical for prioritizing resources and recovery aft...
Traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) frequently co-occur in Veteran...
We introduce JetViT, a novel family of hybrid-architecture Vision Transformer (ViT) models that matc...
Adolescence is an important developmental period during which there are diverse changes in the brain...
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...
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...