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  1. 2481
    “…METHODS: Sixteen consecutive PE infants (MHI >2.5) and 44 infants with normal chest shape (MHI ≤2.5) were prospectively analyzed. …”
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    Chest Shape Influences Ventricular-Arterial Coupling Parameters in Infants with Pectus Excavatum
  2. 2482
    por Ying, Xiaoqing, Liu, Hao, Huang, Rong
    Publicado 2023
    “…The Corona Virus Disease 2019 (COVID-19) has been declared a worldwide pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The application of convolutional neural network with medical imaging helps to diagnose the disease accurately, where the label quality plays an important role in the classification problem of COVID-19 chest X-rays. …”
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    COVID-19 chest X-ray image classification in the presence of noisy labels()
  3. 2483
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    Huge chest wall tumor detected incidentally owing to upper airway symptoms
  4. 2484
    por Birkun, Alexei
    Publicado 2022
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    Dispatcher-assisted first aid in chest pain: proposal of an evidence-based algorithm
  5. 2485
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    Wooden chest syndrome: A curious case of fentanyl induced rigidity in adults
  6. 2486
    “…IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. …”
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    Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
  7. 2487
    “…Due to its widespread availability, low cost, feasibility at the patient’s bedside and accessibility even in low-resource settings, chest X-ray is one of the most requested examinations in radiology departments. …”
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    Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
  8. 2488
    “…Loss of smell was significantly associated with mild chest disease. 73.4% of anosmic patients had mild chest infection, 21.5% of them had moderate infection, and 5.1% had severe chest infection. …”
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    Anosmia in COVID-19 Patients: Can We Predict the Severity of Chest Manifestations?
  9. 2489
    “…We aimed to develop a chest X‐ray‐based deep learning model to predict presence of sarcopenia. …”
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    Chest X‐ray‐based opportunistic screening of sarcopenia using deep learning
  10. 2490
    “…The treatment of choice is en bloc excision of the involved portion of the chest wall, frequently leading to significant deformity. …”
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    Percutaneous treatment of chest wall chondroid hamartomas: the experience of a single center
  11. 2491
    “…First, accurate lung parenchyma segmentation in chest CT images was achieved using digital image processing technologies, such as adaptive gray threshold, connected area labeling, and mathematical morphological boundary repair. …”
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    Lung nodule pre-diagnosis and insertion path planning for chest CT images
  12. 2492
    “…Radiologists should be aware of atypical, rare, or subtle chest CT findings in patients with pre-existing cancer.…”
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    Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia
  13. 2493
    “…BACKGROUND: COVID-19 disease, a pandemic for more than two years, has major morbidity and mortality related to pulmonary involvement. Chest radiography is the main imaging tool for critically ill patients. …”
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    Role of chest radiograph in predicting the need for ventilator support in COVID-19 patients
  14. 2494
    “…An 80-year-old man presented to our emergency department complaining of a mass on the right side of his chest and pain in the right flank of his back. A chest computed tomography (CT) scan showed a relatively heterogenous oval-shaped tumor measuring 7.5 × 6.0 cm eroded to the 8th rib, with slightly dense fluid accumulation inside and calcification of the tumor wall. …”
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    Dedifferentiated liposarcoma primary to the chest wall with spontaneous shrinking: report of a case
  15. 2495
    “…BACKGROUND: Accurate assessment of coronavirus disease 2019 (COVID-19) lung involvement through chest radiograph plays an important role in effective management of the infection. …”
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    Deep learning attention-guided radiomics for COVID-19 chest radiograph classification
  16. 2496
    “…PRESENTATION OF CASE: This study presents a 52-year-old male patient with a huge chest wall tumor arising from the posterolateral aspect of the right fourth to seventh ribs measuring 38 cm. …”
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    Neglected huge chest wall mass. A case report of fibrous dysplasia
  17. 2497
    “…However, identifying patients in the early stages of CF-ILD using chest radiographs is challenging. In this study, we developed and tested a deep-learning algorithm to detect CF-ILD using chest radiograph images. …”
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    Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs
  18. 2498
    “…Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning systems to assist clinicians and improve interpretation accuracy. …”
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    Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
  19. 2499
    “…This 66‐year‐old male presented to a local emergency department with non‐radiating epigastric and mid‐sternal chest pain and was found to have a non‐traumatic peri‐aortic hematoma of unknown etiology that developed over a period of 12 hours. …”
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    Spontaneous peri‐aortic hematoma in a patient with new‐onset chest pain
  20. 2500
    “…Sternal cleft is a rare chest wall anomaly resulting from a failure of the lateral mesodermal folds to migrate to the midline, causing a cleft in the early stage of embryological development. …”
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    Isolated V-Shaped Sternal Cleft — A Rare Chest Wall Malformation
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