Mostrando 2,401 - 2,420 Resultados de 47,755 Para Buscar '"Cheste"', tiempo de consulta: 0.27s Limitar resultados
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    “…OBJECTIVES: Dynamic chest radiography (DCR) is a novel real-time digital fluoroscopic imaging system that produces clear, wide field-of-view diagnostic images of the thorax and diaphragm in motion, alongside novel metrics on moving structures within the thoracic cavity. …”
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  4. 2404
    por Ostberg, Nicolai, Ip, Wui, Brown, Ian, Li, Ron
    Publicado 2022
    “…RESULTS: 455 patients with chest pain who received telemedicine were matched to 455 similar patients without telemedicine with standardized mean difference < 0.1 for all matched covariates. …”
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  5. 2405
    “…Two different DL approaches based on a pertained neural network model (ResNet-50) for COVID-19 detection using chest X-ray (CXR) images are proposed in this study. …”
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  6. 2406
    “…To address these challenges, this study presents CODISC-CNN (CNN based Coronavirus DIsease Prediction System for Chest X-rays) that can automatically extract the features from chest X-ray images for the disease prediction. …”
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  7. 2407
    “…Lung herniation is an uncommon clinical entity characterized by protrusion of pulmonary tissue through an area of weakness in the chest wall. We present the case of a 56-year-old man with a history of chronic obstructive pulmonary disease (COPD) and crack-cocaine use who presented to the emergency department due to left-sided lateral chest pain, as well as a two-week history of cough, shortness of breath, and wheezing. …”
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  8. 2408
    “…PURPOSE: To assess the predictive value of on-admission chest CT characteristics to estimate COVID-19 patients' outcome and survival time. …”
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  9. 2409
    “…In the first one, a dataset composed of paediatric chest X-ray, the best performing generated models achieved an 83.3% accuracy with 89% sensitivity for radiomics, 89.9% accuracy with 93.6% sensitivity for fractal dimension and 91.3% accuracy with 90.5% sensitivity for superpixels based histon. …”
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  13. 2413
    “…INTRODUCTION: History is an important component of emergency department risk stratification for chest pain patients. We hypothesized that a significant portion of patients would not be able to accurately report their history of coronary artery disease (CAD) and diagnostic testing. …”
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  14. 2414
    “…OBJECTIVE: To investigate the impact of peer-assisted learning (PAL) in chest tube insertion education on surgical residents. …”
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  15. 2415
    “…BACKGROUND: Patients with acute brain injury often require invasive mechanical ventilation, increasing the risk of developing complications such as respiratory secretions retention. Rapid chest compression is a manual chest physiotherapy technique that aims to improve clearance of secretions in these patients. …”
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  16. 2416
    “…The coronavirus disease 2019 (COVID-19) pandemic has impacted healthcare systems across the world. Chest radiography (CXR) can be used as a complementary method for diagnosing/following COVID-19 patients. …”
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  17. 2417
    por Huang, Hsien-Po, Tsai, Shang-Feng
    Publicado 2022
    “…Amyloidoma of the chest wall is an uncommon entity, consisting of a solitary tumor-like deposit of amyloid. …”
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  18. 2418
    “…In that regard, deep learning approaches have proven as effective solutions for pneumonia classification, especially when considering chest-x-rays images. However, this lung infection can also be caused by other viral, bacterial or fungi pathogens. …”
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