Emergency Medicine

Guided optimization of ToxPi model weights using a Semi-Automated approach.

The Toxicological Prioritization Index (ToxPi) is a visual analysis and decision support tool for di...

Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study.

INTRODUCTION: Artificial intelligence (AI) technology has made rapid progress for disease diagnosis ...

Fixed, Dilated, and Cannulated - Medical Management of Elevated Intracranial Pressures due to a Large Intracranial Hemorrhage in a Patient on Veno-Venous Extracorporeal Membrane Oxygenation: Case Report.

A 40-year-old woman presented with mediastinitis, necrotizing pancreatitis, and severe acute respira...

A novel technology integrating robotics and 3D printing for closed reduction of tibia shaft fracture with MIPPO:A proof-of-concept study.

Less invasive fixation techniques, such as intramedullary nailing (IMN) and minimally invasive percu...

Beyond the : The Utility of Artificial Intelligence in Acute Stroke Triage.

Review of machine learning and deep learning models for toxicity prediction.

The ever-increasing number of chemicals has raised public concerns due to their adverse effects on h...

Retracted: X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

[This retracts the article DOI: 10.1155/2021/2562575.].

Retracted: Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management.

[This retracts the article DOI: 10.1155/2022/8677118.].

The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.

Bone ranks as the third most frequent tissue affected by cancer metastases, following the lung and l...

Attitudes towards artificial intelligence in emergency medicine.

OBJECTIVE: To assess Australian and New Zealand emergency clinicians' attitudes towards the use of a...

Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances.

The market for illicit drugs has been reshaped by the emergence of more than 1100 new psychoactive s...

Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study.

BACKGROUND: This systematic review and meta-analysis were conducted to objectively evaluate the evid...

Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study.

PURPOSE: To develop two deep learning-based systems for diagnosing and localizing pneumothorax on po...

Unveiling the potential of artificial intelligence in orthopaedic surgery.

Artificial intelligence is paving the way in contemporary medical advances, with the potential to re...

Clinical Characteristics and Outcomes of Patients with Intracerebral Hemorrhage: Nonsurgical Versus Surgical Treatment.

INTRODUCTION: Primary intracerebral hemorrhage (ICH) is a stroke subtype with high morbidity and mor...

The Influence of the Novel Computer-Aided Triage System Based on Artificial Intelligence on Endovascular Therapy in Patients with Large Vascular Occlusions: A Meta-Analysis.

OBJECTIVE: The integration of artificial intelligence (AI) with modern healthcare has become increas...

Accuracy of GPT's artificial intelligence on emergency medicine board recertification exam.

Minimally invasive percutaneous screw internal fixation under robot navigation for the treatment of a hamate bone fracture.

PURPOSE: Hamate fractures are rare fractures of the wrist and there is still no consensus on the opt...

The use of POTTER (Predictive Optimal Trees in Emergency Surgery Risk) calculator to predict mortality and complications in patients submitted to Emergency Surgery.

INTRODUCTION: the ability of the care team to reliably predict postoperative risk is essential for i...

Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.

Mortality rate is considered as the most important outcome measure for assessing the severity of bur...

Antiproliferative Cancer Cell and Fungicidal Effects of Yellow and Red Araçá ( Sabine) Fruit Extract.

Araçá is a native Brazil fruit, and has two morphological types, yellow and red; however, it is stil...