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Subcategories: Emergency Medicine

Showing 1450-1470 of 5,236 articles

Vision Transformer for femur fracture classification.

INTRODUCTION: In recent years, the scientific community focused on developing Computer-Aided Diagnos...

Apr 2022 PMID: 35469638

Epidemiological survey, general blood biochemistry, and histological examination of slaughtered heavy horse breeds with hemorrhage in the adipose tissue in the crest of the neck.

Fifty-four slaughtered horses were classified into groups having adipose tissue in the crest of the ...

Apr 2022 PMID: 35510075

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 PMID: 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 PMID: 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 PMID: 35434846

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 PMID: 35469220

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 PMID: 35469219

Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.

The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development a...

Apr 2022 PMID: 35418698

Prediction of femoral strength of elderly men based on quantitative computed tomography images using machine learning.

Hip fracture is the most common complication of osteoporosis, and its major contributor is compromis...

Apr 2022 PMID: 35393726

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 PMID: 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 PMID: 35397969

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much a...

Apr 2022 PMID: 35384552

Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study.

BACKGROUND: Proximal femoral fractures are an important clinical and public health issue associated ...

Apr 2022 PMID: 35396184

Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.

Radiological findings on chest X-ray (CXR) have shown to be essential for the proper management of C...

Apr 2022 PMID: 35379856

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 PMID: 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 PMID: 35395577

A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.

DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX...

Apr 2022 PMID: 35365702

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 PMID: 35100576

Browse Categories

Vision Transformer for femur fracture classification.

Epidemiological survey, general blood biochemistry, and histological examination of slaughtered heavy horse breeds with hemorrhage in the adipose tissue in the crest of the neck.

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

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

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

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

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

Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.

Prediction of femoral strength of elderly men based on quantitative computed tomography images using machine learning.

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

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

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study.

Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.

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

Predicting chemical ecotoxicity by learning latent space chemical representations.

A deep learning model (FociRad) for automated detection of γ-H2AX foci and radiation dose estimation.

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

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

Automatic detection of pneumonia in chest X-ray images using textural features.

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

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