Emergency Medicine

Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap.

The interaction between sunlight and drugs can lead to phototoxicity in patients who have received s...

ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.

Toxicology has undergone a transformation from an observational science to a data-rich discipline ri...

Comparison of Surgical Outcome of Bipolar Scissors with Conventional Cold Dissection Tonsillectomy.

Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Diff...

Machine learning models predicting undertriage in telephone triage.

BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine l...

Multicenter, Multivendor Validation of an FDA-approved Algorithm for Mammography Triage.

OBJECTIVE: Artificial intelligence (AI)-based triage algorithms may improve cancer detection and exp...

[Effectiveness of modified orthopedic robot-assisted percutaneous kyphoplasty in treatment of osteoporotic vertebral compression fracture].

OBJECTIVE: To evaluate the effectiveness of orthopedic robot with modified tracer fixation (short fo...

Machine Learning and Artificial Intelligence in Toxicological Sciences.

Machine learning and artificial intelligence approaches have revolutionized multiple disciplines, in...

Artificial Intelligence Meets Toxicology.

Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

IMPORTANCE: Patient-reported symptom burden was recently found to be associated with emergency depar...

Treatment of the hook of hamate fracture with robot navigation: A note on technique.

OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the ...

[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].

OBJECTIVE: To develop a grading prediction model of traumatic hemorrhage volume based on deep learni...

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

Artificial intelligence processes are increasingly being used in emergency medicine, notably for sup...

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

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

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...

[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...

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 ...

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. ...

Deep Learning-Based Brain Hemorrhage Detection in CT Reports.

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

[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...