Latest AI and machine learning research in emergency medicine for healthcare professionals.
BACKGROUND: Deep learning-based radiological image analysis could facilitate use of chest x-rays as ...
BACKGROUND: Fractures as a result of osteoporosis and low bone mass are common and give rise to sign...
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research int...
Significant microbial removal of highly chlorinated polychlorinated biphenyls (PCBs) requires the co...
OBJECTIVE: We aimed to present a novel semiautomated tool for orbital fracture size measurement and ...
OBJECTIVE: Optimizing timing of defibrillation by evaluating the likelihood of a successful outcome ...
The goals of this study were to develop a risk prediction model in unmet dental care needs and to ex...
BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascu...
BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the developme...
Oxidative phosphorylation is an important biological process in the body to produce energy, during w...
In this paper, we present our system for the RSNA Intracranial Hemorrhage Detection challenge, which...
OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, partic...
Intracranial hemorrhage (ICH) occurs when a blood vessel ruptures in the brain. This leads to signif...
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for dete...
Multi-site training methods for artificial neural networks are of particular interest to the medical...
BACKGROUND: Access to quantitative information is crucial to obtain a deeper understanding of biolog...
Heat shock proteins (HSPs) are ubiquitous in living organisms. HSPs are an essential component for c...
Hemorrhagic stroke is a medical emergency. Artificial intelligence techniques and algorithms may be ...
BACKGROUND: Biomedical document triage is the foundation of biomedical information extraction, which...
PURPOSE OF THE REVIEW: Point-of-care ultrasound using small ultrasound devices has expanded beyond e...
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation o...