Emergency Medicine

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

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Showing 2017-2037 of 4,978 articles
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.

Myocardial infarction (MI) accounts for a high number of deaths globally. In acute MI, accurate elec...

Apr 2022 35533457
Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.

OBJECTIVE: Most cardiac arrest patients who are successfully resuscitated are initially comatose due...

Apr 2022 34962860
Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

The most common cause of long-term disability and death in young adults is a traumatic brain injury....

Apr 2022 35460962
Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.

Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and ...

Apr 2022 35480160
Bayesian deep learning outperforms clinical trial estimators of intracerebral and intraventricular hemorrhage volume.

BACKGROUND AND PURPOSE: Intracerebral hemorrhage (ICH) and intraventricular hemorrhage (IVH) clinica...

Apr 2022 35434846
Deep Learning-Based Medical Information System in First Aid of Surgical Trauma.

The aim of this study was to explore the application of process reengineering integration in trauma ...

Apr 2022 35469219
Deep Transfer Learning for Automatic Prediction of Hemorrhagic Stroke on CT Images.

Intracerebral hemorrhage (ICH) is the most common type of hemorrhagic stroke which occurs due to rup...

Apr 2022 35469220
A cost-aware framework for the development of AI models for healthcare applications.

Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads. Howeve...

Apr 2022 35393566
Assessment of deep convolutional neural network models for mandibular fracture detection in panoramic radiographs.

The aim of this study was to develop automated models for the identification and detection of mandib...

Apr 2022 35397969
Design and evaluation of an intelligent reduction robot system for the minimally invasive reduction in pelvic fractures.

INTRODUCTION: Pelvic fracture is a severe high-energy injury with the highest disability and mortali...

Apr 2022 35379278
Predicting chemical ecotoxicity by learning latent space chemical representations.

In silico prediction of chemical ecotoxicity (HC) represents an important complement to improve in v...

Apr 2022 35395577
Prior information-based high-resolution tomography image reconstruction from a single digitally reconstructed radiograph.

Tomography images are essential for clinical diagnosis and trauma surgery, allowing doctors to under...

Apr 2022 35100576
Robotically applied hemostatic clamping for care-under-fire: harnessing bomb robots for hemorrhage control.

BACKGROUND: Early hemorrhage control after interpersonal violence is the most urgent requirement to ...

Apr 2022 35365497
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.

BACKGROUND AND OBJECTIVE: Intracranial hemorrhage (ICH) is a life-threatening emergency that can lea...

Mar 2022 35390723
Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

Background Patients with fractures are a common emergency presentation and may be misdiagnosed at ra...

Mar 2022 35348381
Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.

OBJECTIVES: Trauma chest radiographs may contain subtle and time-critical pathology. Artificial inte...

Mar 2022 35271382
What Influences the Way Radiologists Express Themselves in Their Reports? A Quantitative Assessment Using Natural Language Processing.

Although using standardized reports is encouraged, most emergency radiological reports in France rem...

Mar 2022 35318544
Data-driven discovery of Green's functions with human-understandable deep learning.

There is an opportunity for deep learning to revolutionize science and technology by revealing its f...

Mar 2022 35319007
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