Emergency Medicine

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

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Showing 2143-2163 of 4,978 articles
Toward an Adaptive Threshold on Cooperative Bandwidth Management Based on Hierarchical Reinforcement Learning.

With the increase in Internet of Things (IoT) devices and network communications, but with less band...

Oct 2021 34770360
Augmenting BDI Agency with a Cognitive Service: Architecture and Validation in Healthcare Domain.

Autonomous intelligent systems are starting to influence clinical practice, as ways to both readily ...

Oct 2021 34686936
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatmen...

Oct 2021 34731773
Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in t...

Oct 2021 34674393
Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.

Background Advances in computer processing and improvements in data availability have led to the dev...

Oct 2021 34665034
Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score.

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...

Oct 2021 34661530
Weakly supervised multitask learning models to identify symptom onset time of unclear-onset intracerebral hemorrhage.

BACKGROUND: Approximately one-third of spontaneous intracerebral hemorrhage patients did not know th...

Oct 2021 34569886
Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19.

Various intelligent technologies have been applied during COVID-19, which has become a worldwide pub...

Oct 2021 34682649
A prehospital diagnostic algorithm for strokes using machine learning: a prospective observational study.

High precision is optimal in prehospital diagnostic algorithms for strokes and large vessel occlusio...

Oct 2021 34654860
The feasibility of deep learning-based synthetic contrast-enhanced CT from nonenhanced CT in emergency department patients with acute abdominal pain.

Our objective was to investigate the feasibility of deep learning-based synthetic contrast-enhanced ...

Oct 2021 34650183
Machine learning-assisted screening for cognitive impairment in the emergency department.

BACKGROUND/OBJECTIVES: Despite a high prevalence and association with poor outcomes, screening to id...

Oct 2021 34643944
Thoracolumbar Burst Fractures: A Systematic Review and Meta-Analysis on the Anterior and Posterior Approaches.

BACKGROUND: A thoracolumbar burst fracture (BF) is a severe type of compression fracture, which is t...

Oct 2021 35478987
Validation of an artificial intelligence solution for acute triage and rule-out normal of non-contrast CT head scans.

PURPOSE: Non-contrast CT head scans provide rapid and accurate diagnosis of acute head injury; howev...

Oct 2021 34623478
Improved Prediction of Older Adult Discharge After Trauma Using a Novel Machine Learning Paradigm.

BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is cr...

Oct 2021 34628162
A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department.

BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challe...

Oct 2021 34620086
Ultrasound Images Guided under Deep Learning in the Anesthesia Effect of the Regional Nerve Block on Scapular Fracture Surgery.

In order to discuss the clinical characteristics of patients with scapular fracture, deep learning m...

Oct 2021 34659690
Machine learning and artificial intelligence: applications in healthcare epidemiology.

Artificial intelligence (AI) refers to the performance of tasks by machines ordinarily associated wi...

Oct 2021 36168500
Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial.

Background Supplemental screening with MRI has proved beneficial in women with extremely dense breas...

Oct 2021 34609196
A deep learning-based model for prediction of hemorrhagic transformation after stroke.

Hemorrhagic transformation (HT) is one of the most serious complications after endovascular thrombec...

Oct 2021 34608705
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