Emergency Medicine

Application of robot navigation system for insertion of femoral neck system in the treatment of femoral neck fracture.

PURPOSE: To evaluate the short-term clinical efficacy and advantages of surgery robot positioning sy...

Editorial: Clinical application of artificial intelligence in emergency and critical care medicine, volume IV.

Evaluation of different machine learning algorithms for predicting the length of stay in the emergency departments: a single-centre study.

BACKGROUND: Recently, crowding in emergency departments (EDs) has become a recognised critical facto...

A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images.

BACKGROUND AND OBJECTIVE: The accurate evaluation of bone mechanical properties is essential for pre...

Robot Navigation System Assisted PFNA Fixation of Femoral Intertrochanteric Fractures in the Elderly: A Retrospective Clinical Study.

OBJECTIVE: The incidence of hip fracture in the elderly is increasing. Robot navigation technology h...

Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.

BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but littl...

A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging.

Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruis...

Nimodipine systemic exposure and outcomes following aneurysmal subarachnoid hemorrhage: a pilot prospective observational study (ASH-1 study).

BACKGROUND: Nimodipine improves outcomes following aneurysmal subarachnoid hemorrhage (aSAH). Guidel...

Evaluating the Reliability of a Remote Acuity Prediction Tool in a Canadian Academic Emergency Department.

STUDY OBJECTIVE: There is increasing interest in harnessing artificial intelligence to virtually tri...

Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation.

Protein mutations can significantly influence protein solubility, which results in altered protein f...

Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.

Given the critical and complex features of medical emergencies, it is essential to develop models th...

The correlation between serum creatinine and burn severity and its predictive value.

This study aimed to explore the correlation between serum creatinine and burn severity and the value...

Artificial intelligence in oral health surveillance among under-served communities.

A sizable percentage of the population in India still does not have easy access to dental facilities...

Predicting transfers to intensive care in children using CEWT and other early warning systems.

BACKGROUND AND OBJECTIVE: The Children's Early Warning Tool (CEWT), developed in Australia, is widel...

Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives.

INTRODUCTION: The application of Artificial Intelligence (AI) to predictive toxicology is rapidly in...

Robot-assisted close reduction with double screw fixation for the coracoid-process base fracture: A case report.

Is There Any Effect of Change in Pre-Wash and Post-Wash Semen Parameters on the Success of Intrauterine Insemination?

(1) Background: We aimed to investigate the effect of change in pre-wash and post-wash semen paramet...

Mpox (formerly monkeypox): pathogenesis, prevention, and treatment.

In 2022, a global outbreak of Mpox (formerly monkeypox) occurred in various countries across Europe ...

Artificial intelligence-enabled ophthalmoscopy for papilledema: a systematic review protocol.

Papilledema is a pathology delineated by the swelling of the optic disc secondary to raised intracra...

Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan.

BACKGROUND: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional ...

CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using ...