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  1. 2981
    “…BACKGROUND: We present two patients: one with a blunt and one with a penetrating chest trauma mechanism and both with concomitant COVID-19 infections. …”
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  2. 2982
    “…This study assessed the ability of chest computed tomography (CT) severity score (CSS) to predict intensive care unit (ICU) admission and mortality in patients with COVID-19 pneumonia. …”
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  3. 2983
    “…Background: Although chest radiographs have not been utilised well for classifying stroke subtypes, they could provide a plethora of information on cardioembolic stroke. …”
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  4. 2984
    “…INTRODUCTION: Regardless of its rarity, and indolent clinical course, chest wall tumor places high morbidity and burden on patients especially when invasion to a neighboring structure is found. …”
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  5. 2985
  6. 2986
    “…PURPOSE: To evaluate the feasibility of triple rule out computed tomography (TRO-CT) in an emergency radiology workflow by comparing the diagnostic performance of cardiovascular and general radiologists in the interpretation of emergency TRO-CT studies in patients with acute and atypical chest pain. METHODS: Between July 2017 and December 2019, 350 adult patients underwent TRO-CT studies for the assessment of atypical chest pain. …”
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  7. 2987
  8. 2988
  9. 2989
  10. 2990
    “…Blunt chest trauma is a rare cause of acute coronary syndrome and can be masked by other injuries in polytrauma patients. …”
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  11. 2991
    “…In this article, we design a deep learning system to extract features and detect COVID-19 from chest X-ray images. Three powerful networks, namely ResNet50, InceptionV3, and VGG16, have been fine-tuned on an enhanced dataset, which was constructed by collecting COVID-19 and normal chest X-ray images from different public databases. …”
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  12. 2992
    “…Chest pain is commonly reported in emergency departments, and a thorough clinical history is important in distinguishing the etiology. …”
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  13. 2993
  14. 2994
    “…The aim of this study is to evaluate the prognostic value of the vertebral bone mineral density (BMD) on chest computed tomography (CT) in COVID-19 patients. …”
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  15. 2995
    “…INTRODUCTION: The objective of this study was to assess seven configurations of six convolutional deep neural network architectures for classification of chest X-rays (CXRs) as COVID-19 positive or negative. …”
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  16. 2996
  17. 2997
  18. 2998
    “…PURPOSE: Chest wall injuries are common in blunt trauma and associated with significant morbidity and mortality. …”
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  19. 2999
  20. 3000
    “…The quality of CPR was evaluated and compared based on the information obtained regarding the chest compression depth, recoil, and rate of chest compression. …”
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