Latest AI and machine learning research in emergency medicine for healthcare professionals.
Intracranial vessel wall imaging (VWI), which requires both high spatial resolution and high signal-...
Artificial intelligence (AI) is becoming increasingly integral in clinical practice, such as during ...
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have ...
Ketamine has recently become an anesthetic drug used in human and veterinary clinical medicine for i...
The issue of left against medical advice (LAMA) patients is common in today's emergency departments ...
Mitochondrial carriers (MCs) are essential proteins that transport metabolites across mitochondrial ...
BACKGROUND: The volume measurement of intracerebral hemorrhage (ICH) and intraventricular hemorrhage...
Machine learning (ML) tools for acute respiratory distress syndrome (ARDS) detection and prediction ...
PURPOSE: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessme...
AIM OF THE STUDY: We evaluated whether an artificial intelligence (AI)-driven robot cardiopulmonary ...
Image-based deformation estimation is an important tool used in a variety of engineering problems, i...
BACKGROUND: The objective of this study was to define clinically meaningful phenotypes of intracereb...
BACKGROUND: The field of toxicology has witnessed substantial advancements in recent years, particul...
Per- and polyfluoroalkyl substances (PFASs), one of the persistent organic pollutants, have immunosu...
BACKGROUND: Accurate volumetric assessment of spontaneous aneurysmal subarachnoid hemorrhage (aSAH) ...
INTRODUCTION: The urgency and complexity of emergency room (ER) settings require precise and swift d...
Diagnosing patients in the medical emergency department is complex and this is expected to increase ...
RATIONALE AND OBJECTIVES: This study aimed to employ deep learning techniques to analyze and validat...
BACKGROUND: In-hospital mortality following hip fractures is a significant concern, and accurate pre...
PRIMARY OBJECTIVE: To evaluate the accuracy of an innovative machine-learning-powered near-infrared ...
Multidisciplinary pulmonary embolism response teams (PERTs) have shown that timely triage expedites ...