Latest AI and machine learning research in emergency medicine for healthcare professionals.
The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...
Our purpose was to evaluate the approach of two different chatbots (ChatGPT and Gemini) to a list of...
Proximal humeral fractures are among the most common fractures seen in emergency departments. Accura...
Natural Language Processing (NLP) has shown promise in fields like radiology for converting unstruct...
Burn injuries present a significant global health challenge. Among the most severe long-term conse...
Stress distributions and the corresponding fracture patterns and evolutions in the microstructures...
Differential diagnosis is crucial for medicine as it helps healthcare providers systematically dis...
Intracranial Hemorrhage is a potentially lethal condition whose manifestation is vastly diverse an...
Purpose To develop a highly generalizable weakly supervised model to automatically detect and locali...
PURPOSE: To investigate the effects of deep learning reconstruction on depicting arteries and provid...
The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy an...
OBJECTIVES: We assessed whether proactive care management for artificial intelligence (AI)-identifie...
Artificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential dia...
In this paper, we address the vision-based autonomous landing problem in complex urban environment...
We present the TRIAGE Benchmark, a novel machine ethics (ME) benchmark that tests LLMs' ability to...
3D Gaussian splatting (3DGS), known for its groundbreaking performance and efficiency, has become ...
OBJECTIVE: To present questions about poisoning to 4 artificial intelligence (AI) systems and 4 clin...
This paper describes an online tool for the visualization of medical emergency locations, randomly...
The diagnostic performance of an artificial intelligence (AI) clinical decision support solution for...
Artificial intelligence (AI) has garnered significant attention for its pivotal role in the national...
Integrating experimental data into simulations is crucial for predicting material behaviour, espec...