Emergency Medicine

[Research advances on functional training robots in burn rehabilitation].

Patients with deep burns are prone to suffer cicatrix hyperplasia or contracture, leading to problem...

[Treatment of Parastomal Hernia Following Robot-Assisted Radical Cystectomy and Cutaneous Ureterostomy : A Case Report].

The patient was an 82-year-old woman with localized muscle-invasive bladder cancer, who underwent ro...

Parkland Trauma Index of Mortality: Real-Time Predictive Model for Trauma Patients.

OBJECTIVE: Vital signs and laboratory values are used to guide decisions to use damage control techn...

Deep Learning-Based Brain Hemorrhage Detection in CT Reports.

Radiology reports can potentially be used to detect critical cases that need immediate attention fro...

Using Explainable Artificial Intelligence Models (ML) to Predict Suspected Diagnoses as Clinical Decision Support.

The complexity of emergency cases and the number of emergency patients have increased dramatically. ...

User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

The acceptance of artificial intelligence (AI) systems by health professionals is crucial to obtain ...

[Arthroscopic-assisted fracture reduction combined with robot-navigated nail placement to treat talar neck fractures].

This study aims to explore the clinical efficacy of arthroscopic-assisted reduction combined with ro...

Towards the Application of Machine Learning in Emergency Informatics.

Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid...

Potential for Machine Learning in Burn Care.

Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and tre...

Knowledge-based BERT: a method to extract molecular features like computational chemists.

Molecular property prediction models based on machine learning algorithms have become important tool...

Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy.

BACKGROUND: Automated radiologic analysis using computer-aided detection software (CAD) could facili...

Death by Robots? Automation and Working-Age Mortality in the United States.

The decline of manufacturing employment is frequently invoked as a key cause of worsening U.S. popul...

Mass Deployment of Deep Neural Network: Real-Time Proof of Concept With Screening of Intracranial Hemorrhage Using an Open Data Set.

BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or ...

Tox-GAN: An Artificial Intelligence Approach Alternative to Animal Studies-A Case Study With Toxicogenomics.

Animal studies are a critical component in biomedical research, pharmaceutical product development, ...

Road traffic accident trauma: A model for road safety management utilizing the artificial intelligence with geo-mapping and geospatial data in Pakistan.

The derivation of an International Classification of Diseases, Tenth Revision-based trauma-related mortality model using machine learning.

BACKGROUND: Existing mortality prediction models have attempted to quantify injury burden following ...

[Application of spinal surgical robots in minimally invasive surgery for thoracolumbar fracture].

OBJECTIVE: To evaluate the safety and accuracy of Renaissance robot navigation system in minimally i...

[Management of the nondisplaced type Herbert D1 scaphoid fracture with robot navigation combined with wrist arthroscopy].

To investigate the feasibility and the clinical efficiency of robot navigation combined with wrist a...

Invited Commentary on: Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests rema...

Validation of a Machine Learning Model for Early Shock Detection.

OBJECTIVES: The objectives of this study were to test in real time a Trauma Triage, Treatment, and T...