Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Showing 1555-1575 of 5,236 articles
Evaluation of a semi-automated data extraction tool for public health literature-based reviews: Dextr.

INTRODUCTION: There has been limited development and uptake of machine-learning methods to automate ...

Integrated Multiomics Analysis Identifies a Novel Biomarker Associated with Prognosis in Intracerebral Hemorrhage.

Existing treatments for intracerebral hemorrhage (ICH) are unable to satisfactorily prevent developm...

Percutaneous Robot-Assisted versus Freehand S Iliosacral Screw Fixation in Unstable Posterior Pelvic Ring Fracture.

OBJECTIVES: To assess the efficiency, safety, and accuracy of S (IS) screw fixation using a robot-as...

Development and Validation of an Analytical Method to Quantitate Hydroxycitric Acid, the Key Constituent in Extract, in Rodent Plasma and Fetus.

extract (GCE) is a popular botanical supplement used in weight loss products. Hydroxycitric acid (H...

Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation.

Research using artificial intelligence (AI) in medicine is expected to significantly influence the p...

Validation of Analytical Method for Determination of Thallium in Rodent Plasma and Tissues by Inductively Coupled Plasma-Mass Spectrometry (ICP-MS).

Thallium (Tl) can be released as a byproduct of smelting, mining, and other industries, causing huma...

Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detec...

Esophageal discoid foreign body detection and classification using artificial intelligence.

BACKGROUND: Early and accurate radiographic diagnosis is required for the management of children wit...

RespiraTox - Development of a QSAR model to predict human respiratory irritants.

Respiratory irritation is an important human health endpoint in chemical risk assessment. There are ...

Research on Digital Economy of Intelligent Emergency Risk Avoidance in Sudden Financial Disasters Based on PSO-BPNN Algorithm.

In recent years, disasters have seriously affected the normal development of financial business in s...

Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies.

BACKGROUND: Highly accurate detection of intracranial hemorrhages (ICH) on head computed tomography ...

Deep learning-based image-analysis algorithm for classification and quantification of multiple histopathological lesions in rat liver.

Artificial intelligence (AI)-based image analysis is increasingly being used for preclinical safety-...

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19.

A key task of emergency departments is to promptly identify patients who require hospital admission....

Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays.

BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has rec...

Medical Information Mining-Based Visual Artificial Intelligence Emergency Nursing Management System.

This study aims to design a set of the visual artificial intelligence system based on medical inform...

Network analysis of trauma in patients with early-stage psychosis.

Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination...

Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morb...

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