AIMC Topic: Pneumothorax

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Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach.

Computers in biology and medicine
Pneumothorax is a potentially life-threatening condition that can be rapidly and accurately assessed via the lung sliding artefact generated using lung ultrasound (LUS). Access to LUS is challenged by user dependence and shortage of training. Image c...

Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis.

Scientific reports
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarkably increased in number recently. Since training and validation are often performed on subsets of the same overall dataset, external validation is man...

Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs.

Scientific reports
Artificial intelligence (AI) applied to pediatric chest radiographs are yet scarce. This study evaluated whether AI-based software developed for adult chest radiographs can be used for pediatric chest radiographs. Pediatric patients (≤ 18 years old) ...

Robotic Management of Diaphragmatic Endometriosis in 10 Steps.

Journal of minimally invasive gynecology
OBJECTIVE: To present 10 standardized steps of the surgical management of diaphragmatic endometriosis using Da Vinci robotic assistance.

Deep Learning-Based Computer-Aided Pneumothorax Detection Using Chest X-ray Images.

Sensors (Basel, Switzerland)
Pneumothorax is a thoracic disease leading to failure of the respiratory system, cardiac arrest, or in extreme cases, death. Chest X-ray (CXR) imaging is the primary diagnostic imaging technique for the diagnosis of pneumothorax. A computerized diagn...

Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers.

Journal of digital imaging
Large datasets with high-quality labels required to train deep neural networks are challenging to obtain in the radiology domain. This work investigates the effect of training dataset size on the performance of deep learning classifiers, focusing on ...

Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.

Journal of medical imaging and radiation oncology
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial intelligence (AI) models for pneumothorax classification and segmentation for automated chest X-ray (CXR) triaging. A secondary aim was to perform interp...

A deep learning-based system capable of detecting pneumothorax via electrocardiogram.

European journal of trauma and emergency surgery : official publication of the European Trauma Society
PURPOSE: To determine if an electrocardiogram-based artificial intelligence system can identify pneumothorax prior to radiological examination.