Latest AI and machine learning research in emergency medicine for healthcare professionals.
INTRODUCTION: Recent advancements in artificial intelligence (AI) have introduced tools like ChatGPT...
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenici...
AIMS: This study investigated the underlying causes for the current low rate of cardiopulmonary resu...
PURPOSE: Convolutional Neural Networks (CNNs) have shown promise in fracture detection, but their ab...
PURPOSE: The development of AI-assisted biodosimetry systems brings significant advances in cytogene...
Artificial intelligence (AI) is a rapidly advancing field aiming to replicate human intelligence in ...
PURPOSE: Chat Generative Pre-trained Transformer (ChatGPT)-4V, a large language model developed by O...
OBJECTIVE: To explore the potential and challenges of GLM-4 model in nursing test design, and to eva...
Acid ceramidase (ASAH1), a lysosomal enzyme that regulates ceramide and sphingosine-1-phosphate bala...
The transition toward new approach methodologies for toxicity testing has accelerated the developmen...
Diethylene glycol dibenzoate (DEGDB) is a novel environmentally friendly plasticizer. However, toxic...
To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused as...
BACKGROUND: After total hip arthroplasty (THA), standing and walking balance are greatly affected in...
Dengue shock syndrome (DSS) is a serious complication of dengue infection which occurs when critical...
Sparse-view computed tomography (CT) holds promise for reducing radiation exposure and enabling nove...
In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is ...
BACKGROUND: Emergency medicine can benefit from artificial intelligence (AI) due to its unique chall...
Thyroid disorders are among the most prevalent endocrine conditions worldwide, exhibiting a rising i...
OBJECTIVE: Satisfied reduction of fracture is hard to achieve. The purpose of this study is to devel...
Machine learning (ML) algorithms have the potential to enhance the prediction of adverse outcomes in...
PURPOSE: Large language models (LLMs) have a significant potential in healthcare due to their abilit...