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  1. 3701
    “…A 20-year-old man had marked esophageal dilatation that was found incidentally on chest radiography during a health examination. Chest/abdominal contrast-enhanced computed tomography and endoscopy showed marked esophageal and duodenal dilatation without mechanical obstruction. …”
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    Megaesophagus and Megaduodenum Found Incidentally on a Routine Chest Radiograph During a Health Examination
  2. 3702
    “…This paper conducts a comparative study of the use of the recent deep learning models (VGG16, VGG19, DenseNet121, Inception-ResNet-V2, InceptionV3, Resnet50, and Xception) to deal with the detection and classification of coronavirus pneumonia from pneumonia cases. This study uses 7165 chest X-ray images of COVID-19 (1536) and pneumonia (5629) patients. …”
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    A comparative study of multiple neural network for detection of COVID-19 on chest X-ray
  3. 3703
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    COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans
  4. 3704
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    How to Diagnose and Manage Patients With Fluoropyrimidine-Induced Chest Pain: A Single Center Approach
  5. 3705
    “…As the number of infections soared, and capabilities for testing lagged behind, chest X-ray (CXR) imaging became more relevant in the early diagnosis and treatment planning for patients with suspected or confirmed COVID-19 infection. …”
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    Validating deep learning inference during chest X-ray classification for COVID-19 screening
  6. 3706
    “…The manifestations of CXR (Chest X-Ray) images contained salient features of the virus. …”
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    Automated image classification of chest X-rays of COVID-19 using deep transfer learning
  7. 3707
    “…Overall, 793 retrospectively acquired posterior–anterior (PA) chest X-ray images (CXRs) of 793 patients were used to train deep learning (DL) models for lung and heart segmentation. …”
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    Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning
  8. 3708
    “…This has motivated researchers to find alternate methods of testing which are reliable, easily accessible and faster. Chest X-Ray is one of the modalities that is gaining acceptance as a screening modality. …”
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    Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images
  9. 3709
    “…The novel teaching point is that COVID-19 myocarditis can present with acute manifestations such as chest pain and transient ST-segment elevation even several weeks after complete recovery from the initial infection. …”
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    Recurrent Chest Pain After COVID-19: Diagnostic Utility of Cardiac Magnetic Resonance Imaging
  10. 3710
    por Liang, Fukui, Li, Caiqin, Fu, Xiaoqin
    Publicado 2021
    “…Therefore, this article proposes a deep learning-based artificial intelligence chest CT lung nodule detection performance evaluation study, aiming to evaluate the value of chest CT imaging technology in the detection of noncalcified nodules and provide help for the detection and treatment of lung cancer. …”
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    Evaluation of the Effectiveness of Artificial Intelligence Chest CT Lung Nodule Detection Based on Deep Learning
  11. 3711
    “…PURPOSE: This retrospective analysis aims to examine the effectiveness of the current chest imaging guidelines regarding COVID-19 positive pediatric patients on our study group of patients aged 0 to 18. …”
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    Evaluating current chest imaging practices of pediatric patients with COVID-19: A retrospective analysis()
  12. 3712
    “…The proposed COVID-19 detection frameworks are evaluated on radiologist's authenticated chest X-ray data, and their performance is compared with the well-established CNNs. …”
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    COVID-19 detection in chest X-ray images using deep boosted hybrid learning
  13. 3713
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    Liposarcoma of the chest wall mimicking a breast mass in a man: a case report
  14. 3714
    “…This study reports on the cumulative radiation from chest radiographs in children with asthma. Its main purpose was to review our current practice and suggest minimizing the use of chest radiographs. …”
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    A Single-Institution Experience in the Use of Chest Radiographs for Hospitalized Children Labeled as Asthma Exacerbation
  15. 3715
    “…These models utilize depth wise convolution with varying dilation rates for efficiently extracting diversified features from chest X-rays. 657 chest X-rays of which 219 were X-ray images of patients infected from COVID-19 and the remaining were the images of non-COVID-19 (i.e. normal or COVID-19 negative) patients. …”
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    Detection of novel coronavirus from chest X-rays using deep convolutional neural networks
  16. 3716
    “…Radiography, and more specifically, chest radiography, is a relatively inexpensive medical imaging modality that can potentially offer a solution for the diagnosis of COVID-19 cases. …”
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    On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays
  17. 3717
    “…Diagnosis of pneumonia in chest X-ray images can be difficult and error-prone because of its similarity with other infections in the lungs. …”
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    Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images
  18. 3718
    “…OBJECTIVES: We sought to identify the chest radiography differences at presentation between two groups of hospitalized confirmed COVID-19 patients; intubated group compared to non-intubated group. …”
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    Chest Radiography Findings of COVID-19 Patients: Differences between the Intubated and Non-intubated Groups
  19. 3719
    “…AIM: This study aimed to investigate whether serum biochemical parameters can be used as a surrogate for chest computed tomography (CT) in the diagnosis of COVID-19 in pediatric patients. …”
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    Serum biochemical parameters as a surrogate marker for chest computed tomography in children with COVID-19
  20. 3720
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    Dog Pulling on the Leash: Effects of Restraint by a Neck Collar vs. a Chest Harness
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