Latest AI and machine learning research in emergency medicine for healthcare professionals.
Emergency responders face significant human factors and ergonomic (HF/E) challenges related to physi...
BACKGROUND: Clinical work-up for suspected cardiac chest pain is resource intensive. Despite expecta...
BACKGROUND: Large language models (LLMs) have shown promise in various medical applications, but the...
BACKGROUND: It is becoming increasingly important to evaluate the effectiveness of large language mo...
Accurate interpretation of multi-view radiographs is crucial for diagnosing fractures, muscular in...
Comorbidity networks, which capture disease-disease co-occurrence usually based on electronic heal...
Today's text-to-image generative models are trained on millions of images sourced from the Interne...
Underground mining operations face significant safety challenges that make emergency response capa...
Rapid and reliable vascular access is critical in trauma and critical care. Central vascular cathe...
The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various s...
Conventional operating system scheduling algorithms are largely content-ignorant, making decisions...
This paper introduces the TempVS benchmark, which focuses on temporal grounding and reasoning capa...
Recent advances in medical imaging have established deep learning-based segmentation as the predom...
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies in...
BACKGROUND: Anal injuries, such as lacerations and fissures, are challenging to diagnose because of ...
In critical situations, conventional mobile telephony fails to convey emergency voice messages to ...
Navigating healthcare systems can be complex and overwhelming, creating barriers for patients seek...
Incidental detection and quantification of coronary calcium in CT scans could lead to the early in...
Early recognition of septic shock is crucial for improving clinical management and patient outcomes,...
Organophosphate esters (OPEs) have emerged as a significant environmental concern due to their wides...
Gathering enough images to train a deep computer vision model is a constant challenge. Unfortunate...