Emergency Medicine

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

5,260 articles
Stay Ahead - Weekly Emergency Medicine research updates
Subscribe
Browse Categories
Subcategories: Emergency Medicine
Showing 2185-2205 of 5,260 articles
A review on machine learning methods for in silico toxicity prediction.

In silico toxicity prediction plays an important role in the regulatory decision making and selectio...

Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, met...

Prevalence of Vitamin D Inadequacy Among Chinese Postmenopausal Women: A Nationwide, Multicenter, Cross-Sectional Study.

We aimed to investigate the status of serum 25-hydroxyvitamin D [25(OH)D] among Chinese postmenopau...

Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about ...

Using deep learning to identify translational research in genomic medicine beyond bench to bedside.

Tracking scientific research publications on the evaluation, utility and implementation of genomic a...

generation test: A new methodology with a Brazilian endemic insect.

This paper presents a new ecotoxicological test to investigate the response of a Brazilian endemic i...

Quantitative analysis of desomorphine in blood and urine using solid phase extraction and gas chromatography-mass spectrometry.

Desomorphine, a semi-synthetic opioid, is a component of the street drug Krokodil. Despite continued...

Protective effects of Ganoderma triterpenoids on cadmium-induced oxidative stress and inflammatory injury in chicken livers.

Several studies have been conducted on liver damage caused by cadmium, but few on the protective eff...

UHPLC-MS/MS method for simultaneous determination of carbamazepine and its seven major metabolites in serum of epileptic patients.

Carbamazepine (CBZ) was considered as the drug of choice in the treatment for various forms of epile...

Application of a deep convolutional neural network in the diagnosis of neonatal ocular fundus hemorrhage.

There is a disparity between the increasing application of digital retinal imaging to neonatal ocula...

An Accurate Assessment of Docosahexaenoic Acid in Laying Hen Serum for Regulatory Studies.

Diets rich in omega-3 fatty acids (n-3 FA) have been associated with several health benefits. With t...

Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The purpose of this study was to identify an optimal definition of massive transfusion in civilian p...

Neurofuzzy c-Means Network-Based SCARA Robot for Head Gimbal Assembly (HGA) Circuit Inspection.

Decision and control of SCARA robot in HGA (head gimbal assembly) inspection line is a very challeng...

Robot-assisted intravertebral augmentation corrects local kyphosis more effectively than a conventional fluoroscopy-guided technique.

OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating M...

Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.

BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to e...

A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.

OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.

Various types of atherosclerotic plaque and varying grades of stenosis could lead to different manag...

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission predictio...

Browse Categories