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  1. 4421
    Publicado 2021
    “…Chest X-ray (CXR) imaging is a standard and crucial examination method used for suspected cases of coronavirus disease (COVID-19). …”
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    Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey
  2. 4422
    “…This study was to explore the application value of chest computed tomography (CT) images processed by artificial intelligence (AI) algorithms in the diagnosis of neonatal bronchial pneumonia (NBP). …”
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    Chest Computed Tomography Images in Neonatal Bronchial Pneumonia under the Adaptive Statistical Iterative Reconstruction Algorithm
  3. 4423
    “…INTRODUCTION: Chest CT provides valuable information regarding coronavirus disease 2019 (COVID-19) during the treatment process. …”
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    Comparison of chest CT findings in outpatient and hospitalized COVID-19 RT-PCR positive patients of Shiraz
  4. 4424
    “…This study will benefit patients of CET with OWT to attain early chest wall closure without being subjected to another surgical trauma. …”
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    Effect of Circumference of Open Window Thoracostomy on Chest Wall Closure, Pleural Cavity Clearance, and Lung Expansion
  5. 4425
    “…BACKGROUND: Chest pain remains one of the most challenging serious complaints in the emergency department (ED). …”
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    30 day predicted outcome in undifferentiated chest pain: multicenter validation of the HEART score in Tunisian population
  6. 4426
    “…The 34 children with abnormal chest CT for the first time have a total of 92 chest CT examinations. …”
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    Chest CT features of children infected by B.1.617.2 (Delta) variant of COVID-19
  7. 4427
    “…The human right ventricle is barely monitored during open-chest surgery due to the absence of intraoperative imaging techniques capable of elaborating its complex function. …”
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    Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects
  8. 4428
    “…High quality radiology reporting of chest X-ray images is of core importance for high-quality patient diagnosis and care. …”
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    Encoder-decoder models for chest X-ray report generation perform no better than unconditioned baselines
  9. 4429
    “…This technology was used in concert with a single section of coated mesh for reconstruction of the diaphragm, chest wall, and abdominal wall. RESULTS: There were no post-operative complications. …”
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    Custom 3D-printed Titanium Implant for Reconstruction of a Composite Chest and Abdominal Wall Defect
  10. 4430
    “…INTRODUCTION: The aim of this study was to evaluate the delayed chest closure (DCC) results in patients who underwent lung transplantation. …”
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    Delayed Chest Closure for Oversized Lung Allograft in Lung Transplantation: a Retrospective Analysis from Turkey
  11. 4431
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    Diagnostic Performance of Chest CT-Scan and First RT-PCR Testing for COVID-19 in Iranian Population
  12. 4432
    “…In this work, we propose 4 fully automatic approaches for the classification of chest X-ray images under the analysis of 3 different categories: Covid-19, pneumonia and healthy cases. …”
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    Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images
  13. 4433
    “…METHODS AND RESULTS: Patients presenting with chest pain and nonobstructive coronary artery disease (stenosis <40%) at coronary angiography underwent an invasive assessment of CED. …”
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    Anxiety Disorders Are Associated With Coronary Endothelial Dysfunction in Women With Chest Pain and Nonobstructive Coronary Artery Disease
  14. 4434
    por Cui, Ying, Jiang, Siyi
    Publicado 2021
    “…Background: Randomized controlled trials (RCTs) evaluating the influence of personal protective equipment (PPE) on quality of chest compressions during cardiopulmonary resuscitation (CPR) showed inconsistent results. …”
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    Influence of Personal Protective Equipment on the Quality of Chest Compressions: A Meta-Analysis of Randomized Controlled Trials
  15. 4435
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    Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
  16. 4436
    “…Treatment with intercostal chest drainage (ICD) is necessary, particularly in symptomatic patients or those with tension. …”
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    Factors Associated with Duration of Intercostal Chest Drainage in Patients with Primary Spontaneous Pneumothorax and the Role of Pulmonary Rehabilitation
  17. 4437
    “…OBJECTIVES: In response to the COVID-19 pandemic, many researchers have developed artificial intelligence (AI) tools to differentiate COVID-19 pneumonia from other conditions in chest CT. However, in many cases, performance has not been clinically validated. …”
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    Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?
  18. 4438
    “…Background: The aim of this study was to evaluate the performance of an automated COVID-19 detection method based on a transfer learning technique that makes use of chest computed tomography (CT) images. Method: In this study, we used a publicly available multiclass CT scan dataset containing 4171 CT scans of 210 different patients. …”
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    A Deep Learning Ensemble Approach for Automated COVID-19 Detection from Chest CT Images
  19. 4439
    por Bu, Ran, Xiang, Wei, Cao, Shitong
    Publicado 2021
    “…The COVID-19 medical diagnosis method based on individual’s chest X-ray (CXR) is achieved difficultly in the initial research, owing to difficulties in identifying CXR data of COVID-19 individuals. …”
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    COVID-19 Interpretable Diagnosis Algorithm Based on a Small Number of Chest X-Ray Samples
  20. 4440
    por Trivedi, Megha, Gupta, Abhishek
    Publicado 2021
    “…A deep learning-based architecture ‘MobileNet’ is proposed for the automatic detection of pneumonia based on the chest X-ray images. A benchmark dataset of 5856 chest X-ray images was taken for the training, testing, and evaluation of the proposed deep learning network. …”
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    A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images
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