Emergency Medicine

[Simultaneous determination of four opioids in urine by solid-phase extraction and derivatization coupled with gas chromatography-mass spectrometry].

Police officers currently use the colloidal gold rapid testing method to detect heroin in the urine ...

An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 2: Ischemic Stroke Imaging and Triage.

Acute ischemic stroke constitutes approximately 85% of strokes. Most strokes occur in community sett...

[Challenges of digitalization in trauma care].

The increasing digitalization of social life opens up new possibilities for modern health care. This...

Application Research on Gated Recurrent Unit Deep Learning Prediction and Graded Early Warning of Emergency Department Visits Based on Meteorological Environmental Data.

The toll of noninfected CRS patients to the COVID-19 pandemic.

Social distancing with the aim of avoiding infections and pre-serve critical care capacities during ...

A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit.

BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their...

Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification.

To use deep learning with advanced data augmentation to accurately diagnose and classify femoral nec...

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as...

[Robot-guided percutaneous kyphoplasty in treatment of multi-segmental osteoporotic vertebral compression fracture].

OBJECTIVE: To evaluate the safety and effectiveness of robot-guided percutaneous kyphoplasty (PKP) i...

Robot-Assisted Instrumented Fusion of a T8-9 Extension Distraction Fracture and Epidural Hematoma Evacuation: 2-Dimensional Operative Video.

The utilization of robotics has been gaining increased popularity in spine surgery. It can be used t...

Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study.

BACKGROUND: We examined the potential change in cancer detection when using an artificial intelligen...

Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.

PURPOSE OF REVIEW: To highlight artificial intelligence applications in ophthalmology during the COV...

Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling.

BACKGROUND: Despite advances in the treatment of poor-grade aneurysmal subarachnoid hemorrhage (aSAH...

Developing a curriculum in artificial intelligence for emergency radiology.

Applications of artificial intelligence in the emergency department.

Combat medic testing of a novel monitoring capability for early detection of hemorrhage.

BACKGROUND: Current out-of-hospital protocols to determine hemorrhagic shock in civilian trauma syst...

Validating clinical threshold values for a dashboard view of the compensatory reserve measurement for hemorrhage detection.

BACKGROUND: Compensatory reserve measurement (CRM) is a novel noninvasive monitoring technology desi...

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Automated Assessment System for Neonatal Endotracheal Intubation Using Dilated Convolutional Neural Network.

Neonatal endotracheal intubation (ETI) is an important, complex resuscitation skill, which requires ...

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Emergency Clinical Procedure Detection With Deep Learning.

Information about a patient's state is critical for hospitals to provide timely care and treatment. ...