Latest AI and machine learning research in emergency medicine for healthcare professionals.
Unmanned aerial vehicles (UAVs), initially developed for military applications, are now used in va...
Deep neural networks for medical image classification often fail to generalize consistently in cli...
3D reassembly is a challenging spatial intelligence task with broad applications across scientific...
The design of AI systems to assist human decision-making typically requires the availability of la...
The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnos...
In the United States alone accidental home deaths exceed 128,000 per year. Our work aims to enable...
The development of artificial intelligence (AI) including generative large language models (LLMs) an...
OBJECTIVE: Using artificial intelligence tools that work with different software architectures for b...
Images of war are almost as old as war itself. From cave paintings to photographs of mobile device...
The opioid overdose epidemic remains a critical public health crisis, particularly in the United S...
BACKGROUND: Matching the necessary resources and facilities to attend to the needs of trauma patient...
Object detection models often struggle with class imbalance, where rare categories appear signific...
Background: Intracranial bleeding (IB) is a life-threatening condition caused by traumatic brain i...
Computer vision has transformed medical diagnosis, treatment, and research through advanced image ...
Institutions with limited data and computing resources often outsource model training to third-par...
Object detection models are vulnerable to backdoor attacks, where attackers poison a small subset ...
The effective management of Emergency Department (ED) overcrowding is essential for improving pati...
Bitcoin burn addresses are addresses where bitcoins can be sent but never retrieved, resulting in ...
Artificial Intelligence (AI) is revolutionizing emergency medicine by enhancing diagnostic process...
Inpatient pathways demand complex clinical decision-making based on comprehensive patient informat...
Minimizing response times to meet legal requirements and serve patients in a timely manner is cruc...