Emergency Medicine

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

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ChemSuite: A package for chemoinformatics calculations and machine learning.

Prediction of biological and toxicological properties of small molecules using in silico approaches ...

The trauma severity model: An ensemble machine learning approach to risk prediction.

Statistical theory indicates that a flexible model can attain a lower generalization error than an i...

DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC.

Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for ...

Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...

Deep learning for predicting toxicity of chemicals: a mini review.

Humans and wildlife inhabit a world with panoply of natural and synthetic chemicals. Alarmingly, onl...

Transfer learning for predicting human skin sensitizers.

Computational prioritization of chemicals for potential skin sensitization risks plays essential rol...

Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...

Chat Analysis Triage Tool: Differentiating contact-driven vs. fantasy-driven child sex offenders.

Investigating crimes against children, specifically sexual solicitations, are complicated because no...

Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview.

Health informatics is a vital technology that holds great promise in the healthcare setting. We desc...

Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images.

BACKGROUND AND OBJECTIVES: The calcaneus is the most fracture-prone tarsal bone and injuries to the ...

Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project.

The nuclear androgen receptor (AR) is one of the most relevant biological targets of Endocrine Disru...

Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

BACKGROUND: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hosp...

A Hybrid Ensemble Model Based on ELM and Improved AdaBoost.RT Algorithm for Predicting the Iron Ore Sintering Characters.

As energy efficiency becomes increasingly important to the steel industry, the iron ore sintering pr...

Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging i...

Identification of a closed cutaneous injury after mechanical trauma caused by collision.

PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few year...

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 ...

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