Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,0...
BACKGROUND: Airway obstruction is a common emergency in acute burns with high mortality. Tracheostom...
PURPOSE: To evaluate the performance of a custom ChatGPT-based chatbot in triaging ophthalmic emerge...
Pharmacokinetic data are not generally available for evaluating the toxicological potential of food ...
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
AIMS: To develop a transformer-based generative adversarial network (trans-GAN) that can generate sy...
BACKGROUND: Osteoporotic fractures (OPF) pose a public health issue, imposing significant burdens on...
AIM: This study aimed to develop a reliable and efficient system for predicting and locating rib fra...
The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-...
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
The proliferation of Generative Artificial Intelligence (Generative AI) has led to an increased reli...
Purpose To evaluate the performance of the winning machine learning models from the 2023 RSNA Abdomi...
Purpose To develop a deep learning tool for the automatic segmentation of the spinal cord and intram...
Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for...
Our purpose was to evaluate the approach of two different chatbots (ChatGPT and Gemini) to a list of...
The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...
Natural Language Processing (NLP) has shown promise in fields like radiology for converting unstruct...
Proximal humeral fractures are among the most common fractures seen in emergency departments. Accura...
Artificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential dia...
Background It is unclear whether artificial intelligence (AI) explanations help or hurt radiologists...
OBJECTIVES: We assessed whether proactive care management for artificial intelligence (AI)-identifie...