Emergency Medicine

Mechanisms of collision recovery in flying beetles and flapping-wing robots.

At rest, beetles fold and tuck their hindwings under the elytra. For flight, the hindwings are deployed through a series of unfolding configurations that are passively driven by flapping forces. The folds lock into place as the wing fully unfolds and thereafter operates as a flat membrane to generate the aerodynamic forces. We show that in the rhinoceros beetle (), these origami-like folds serve a...

Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work was to develop a ML model to predict 30-day all-cause rehospitalizations based on the French hospital medico-administrative database.This was a retro...

[Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].

To establish an artificial intelligence burn depth recognition model based on convolutional neural network, and to test its effectiveness. In this e...

Intelligent rehabilitation assistant system to promote the early functional recovery of the elderly patients with femoral neck fracture after hemiarthroplasty (HA): A protocol for a randomized controlled trial.

BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and mortality. Surgical treatment is the first choice. ...

[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 of drug abusers, but the results are often rendere...

Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. During this time, the management of...

[Challenges of digitalization in trauma care].

The increasing digitalization of social life opens up new possibilities for modern health care. This article describes innovative application possibil...

[Digital OR].

BACKGROUND: Numerous processes are involved in the orthopedic and trauma surgery operating room (OR). Technical progress, particularly in the area of ...

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 settings; thus, automatic algorithms techniques are at...

Rhabdomyolysis in a Civil Aviation Pilot.

Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyolysis has not been reported in Chinese civil aircrew...

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 neck fractures. A retrospective study of patients wit...

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 injuries. Our aim was to develop a machine learni...

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 the COVID-19 pandemic has been implemented in Germ...

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 to assist in pedicle screw insertion when anatomy i...

[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) in treatment of multi-segmental thoracolumbar osteo...

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), predicting the long-term outcome of aSAH remain...

Dynamic impact of transfusion ratios on outcomes in severely injured patients: Targeted machine learning analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios randomized clinical trial.

BACKGROUND: Massive transfusion protocols to treat postinjury hemorrhage are based on predefined blood product transfusion ratios followed by goal-dir...

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 COVID-19 pandemic that can be used to: describe ocula...

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 intelligence (AI) cancer-detection software to triage certai...

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 designed to assess physiologic reserve using feature i...