Latest AI and machine learning research in emergency medicine for healthcare professionals.
This article aims to combine deep learning with image analysis technology and propose an effective c...
Wrist pathologies, {particularly fractures common among children and adolescents}, present a criti...
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often...
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the oper...
AIM: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intellig...
This study employs machine learning techniques to identify factors that influence extended Emergency...
Fracture prediction is essential in managing patients with osteoporosis and is an integral component...
Artificial intelligence (AI) is a rapidly advancing technology in our society. The emergency radiolo...
Deep neural networks are proven to be vulnerable to data poisoning attacks. Recently, a specific t...
The Green's function, serving as a kernel function that delineates the interaction relationships o...
OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for effi...
BACKGROUND: Artificial intelligence (AI) applications in health care have been effective in many are...
Artificial intelligence (AI) technology is advancing rapidly, constantly presenting its application ...
Integrating Generative AI (GenAI) into educational contexts presents a transformative potential fo...
PURPOSE: To construct a clinical noncontrastive computed tomography (NCCT) deep learning joint model...
Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, dispropo...
Community parks play a crucial role in promoting physical activity and overall well-being. This st...
Interaction with chemicals, present in drugs, food, environments, and consumer goods, is an integral...
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...
INTRODUCTION: Detection of occult hemorrhage (OH) before progression to clinically apparent changes ...
Purpose To assess the performance of a local open-source large language model (LLM) in various infor...