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Subcategories: Emergency Medicine

Showing 2122-2142 of 4,978 articles

Machine learning approach for the prediction of postpartum hemorrhage in vaginal birth.

Postpartum hemorrhage is the leading cause of maternal morbidity. Clinical prediction of postpartum ...

Nov 2021 34799687

New Models to Predict the Acute and Chronic Toxicities of Representative Species of the Main Trophic Levels of Aquatic Environments.

To assess the impact of chemicals on an aquatic environment, toxicological data for three trophic le...

Nov 2021 34834075

Deep Learning-Based Diagnosis Method of Emergency Colorectal Pathology.

One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...

Nov 2021 34840696

Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: the case of atmospheric pollutants as confounders to COVID-19 lethality.

This paper demonstrates how the combustion of fossil fuels for transport purpose might cause health ...

Nov 2021 34782027

Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients.

OBJECTIVES: Artif icial intelligence (AI)-based image analysis is increasingly applied in the acute ...

Nov 2021 34773465

[Reflections on the state of the art].

If the progress made so far allows to save more and more lives, the resuscitation of 2021 is still a...

Nov 2021 34895567

[Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray].

OBJECTIVES: To develop prognosis prediction models for COVID-19 patients attending an emergency depa...

Nov 2021 35370310

Classification of target tissues of Eisenia fetida using sequential multimodal chemical analysis and machine learning.

Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the...

Nov 2021 34750664

Effect of deep learning-based assistive technology use on chest radiograph interpretation by emergency department physicians: a prospective interventional simulation-based study.

BACKGROUND: Interpretation of chest radiographs (CRs) by emergency department (ED) physicians is inf...

Nov 2021 34749731

Development and Validation of a Deep Learning Strategy for Automated View Classification of Pediatric Focused Assessment With Sonography for Trauma.

OBJECTIVE: Pediatric focused assessment with sonography for trauma (FAST) is a sequence of ultrasoun...

Nov 2021 34741469

Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.

Artificial Intelligence and machine learning (ML) methods are promising for risk-stratification, but...

Nov 2021 34734350

Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.

There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...

Nov 2021 34734319

Machine learning techniques for mortality prediction in emergency departments: a systematic review.

OBJECTIVES: This systematic review aimed to assess the performance and clinical feasibility of machi...

Nov 2021 34728454

Using explainable machine learning to identify patients at risk of reattendance at discharge from emergency departments.

Short-term reattendances to emergency departments are a key quality of care indicator. Identifying p...

Nov 2021 34728706

Artificial Intelligence in Cardiovascular Imaging: "Unexplainable" Legal and Ethical Challenges?

Nowhere is the influence of artificial intelligence (AI) likely to be more profoundly felt than in h...

Nov 2021 34737036

Role of Digital Health During Coronavirus Disease 2019 Pandemic and Future Perspectives.

Coronavirus disease 2019 revolutionized the digital health care. This pandemic was the catalyst for ...

Oct 2021 35221080

A deep learning model for burn depth classification using ultrasound imaging.

Identification of burn depth with sufficient accuracy is a challenging problem. This paper presents ...

Oct 2021 34781225

Release of Hyaluronan in Aneurysmal Subarachnoid Hemorrhage and Cerebral Vasospasm: A Pilot Study Indicating a Shedding of the Endothelial Glycocalyx.

BACKGROUND: This pilot study investigated plasma concentrations of hyaluronan, heparan sulfate, and ...

Oct 2021 36877176

Deep Learning Image Analysis of High-Throughput Toxicology Assay Images.

High-throughput chemical screening approaches often employ microscopy to capture photomicrographs fr...

Oct 2021 35058173

Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths.

BACKGROUND: Machine learning (ML) is an emerging tool for predicting need of end-of-life discussion ...

Oct 2021 34716042

Using Machine Learning to Establish Predictors of Mortality in Patients Undergoing Laparotomy for Emergency General Surgical Conditions.

INTRODUCTION: Patients undergoing laparotomy for emergency general surgery (EGS) conditions, constit...

Oct 2021 34704147