Latest AI and machine learning research in emergency medicine for healthcare professionals.
Prevention is more important than treatment, and the incidence of intracerebral hemorrhage can be ef...
OBJECTIVE: Hemorrhagic stroke is a leading threat to human's health. The fast-developing microwave-i...
Each year, publicly available databases are updated with new compounds from different research insti...
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...
BACKGROUND: Von Willebrand factor (vWF) is an important part of blood coagulation since it binds pla...
Artificial intelligence tools in radiology practices have surged, with modules developed to target s...
INTRODUCTION: Healthcare professionals frequently experience work-related fatigue, which may jeopard...
Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds that dis...
Intracerebral hemorrhage (ICH) is a stroke subtype with high mortality and disability, and there are...
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency D...
The predominantly animal-centric approach of chemical safety assessment has increasingly come under ...
OBJECTIVES: This study evaluated if medical doctors could identify more hemorrhage events during cha...
OBJECTIVE: To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated tur...
One of the key aspects of the diagnosis and treatment of atypical femoral fractures is the early det...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investi...
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to ass...
Blowout fractures are a common type of facial injury that requires accurate measurement of the fract...
Toxicological information as needed for risk assessments of chemical compounds is often sparse. Unfo...
BACKGROUND: Artificial intelligence (AI) risk prediction algorithms such as the smartphone-available...
This study aimed to develop a machine learning model for predicting brain arteriovenous malformation...
Unpredicted human organ level toxicity remains one of the major reasons for drug clinical failure. T...