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Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study
BackgroundChest radiography is the standard investigation for identifying rib fractures. The application of artificial intelligence (AI) for...
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Combination of transbronchoscopic oxygen insufflation and a digital chest drainage system in endobronchial occlusion: a hybrid technique for localization of fistula in intractable pneumothorax
BackgroundThe management of intractable secondary pneumothorax poses a considerable challenge as it is often not indicated for surgery owing to the...
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Organ doses in preterm and full-term neonates and infants — a retrospective study on 1,064 chest radiographs
BackgroundChest radiography is the most frequent X-ray examination performed in the neonatal period. However, commonly used dosimetric entities do...
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Palpable pediatric chest wall masses
Pediatric chest wall lesions are varied in etiology ranging from normal and benign to aggressive and malignant. When palpable, these lesions can...
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CT and chest radiography in evaluation of mechanical circulatory support devices for acute heart failure
AbstractAcute heart failure and cardiogenic shock are a major cause of morbidity and mortality in patients who have had recent cardiac surgery,...
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Determining Breast Implant Prevalence: A Population Study of Italian Chest Radiographs
BackgroundCurrent breast implant prevalence within the general population remains elusive. An accurate prevalence is critical to serve as the...
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A comprehensive segmentation of chest X-ray improves deep learning–based WHO radiologically confirmed pneumonia diagnosis in children
ObjectivesTo investigate a comprehensive segmentation of chest X-ray (CXR) in promoting deep learning–based World Health Organization’s (WHO)...
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A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays
BackgroundA quantitative assessment of pulmonary edema is important because the clinical severity can range from mild impairment to life threatening....
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Experience of a modified chest tube suture-fixation technique in uniportal thoracoscopic pulmonary resection
ObjectiveThis study aimed to explore the feasibility and advantages of a modified chest tube suture-fixation technique in uniportal video-assisted...
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Bilateral tension pneumothoraxes in buffalo chest several months after Nuss procedure for pectus excavatum
Primary spontaneous pneumothorax usually occurs in tall and thin young people without an underlying disease or traumatic history. Most patients with...
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Artificial intelligence-based detection of atrial fibrillation from chest radiographs
ObjectiveThe purpose of this study was to develop an artificial intelligence (AI)–based model to detect features of atrial fibrillation (AF) on chest...
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Extranodal Rosai-Dorfman Disease: a rare presentation involving anterior chest wall in a middle-aged female
Rosai-Dorfman Disease is a rare benign disorder involving overproduction of immune cells, causing swollen lymph nodes and, in rare cases, the...
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Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
BackgroundChest radiographs are routinely performed in intensive care unit (ICU) to confirm the correct position of an endotracheal tube (ETT)...
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AP pelvis radiograph is insufficient for diagnosis of U-type sacral fractures
PurposeWe investigated the sensitivity of a screening test for pelvic ring disruption, the AP pelvis radiograph, for clinically serious U-type sacral...
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Percutaneous treatment of chest wall chondroid hamartomas: the experience of a single center
BackgroundThoracic mesenchymal hamartomas are rare benign lesions. Rarely symptomatic, they may compress pulmonary parenchyma, leading to respiratory...
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Evaluation of preventive tract embolization with standardized gelatin sponge slurry on chest tube placement rate after CT-guided lung biopsy: a propensity score analysis
BackgroundTo evaluate the effect of tract embolization (TE) with gelatin sponge slurries during a percutaneous lung biopsy on chest tube placement...
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Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children
BackgroundThe chest radiograph is the most common imaging modality to assess childhood pneumonia. It has been used in epidemiological and vaccine...
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Chest radiography and computed tomography imaging in cystic fibrosis: current challenges and new perspectives
Imaging plays a pivotal role in the noninvasive assessment of cystic fibrosis (CF)-related lung damage, which remains the main cause of morbidity and...
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Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
Image-based teleconsultation using smartphones has become increasingly popular. In parallel, deep learning algorithms have been developed to detect...
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Deep transfer learning to quantify pleural effusion severity in chest X-rays
PurposeThe detection of pleural effusion in chest radiography is crucial for doctors to make timely treatment decisions for patients with chronic...