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  1. 3841
    “…There has also been increasing attention for interstitial lung abnormalities on chest CT-scans. In this study we assessed what factors associate with time to diagnosis in patients with IPF, and whether early stages of pulmonary fibrosis can be seen on chest X-rays prior to the start of symptoms. …”
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    Potential interstitial lung abnormalities on chest X-rays prior to symptoms of idiopathic pulmonary fibrosis
  2. 3842
    “…OBJECTIVE: To evaluate the feasibility of using ultra-low-dose computed tomography of the chest with iterative reconstruction without anesthesia for assessment of pulmonary diseases in children. …”
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    Ultra-low-dose chest computed tomography without anesthesia in the assessment of pediatric pulmonary diseases()
  3. 3843
    “…The association of sleep duration with chest pain among adults in US was evaluated by Multivariable logistic regression. …”
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    Association between sleep duration and chest pain in US adults: A cross-sectional study
  4. 3844
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    Clinical features and outcomes of patients with stable or unstable chest pain and no-obstructive coronary artery disease
  5. 3845
    “…OBJECTIVE: To compare the value of chest computed tomography at 1-mm and 5-mm slice thickness in terms of computed tomography severity score and computed tomography evaluation time in the diagnosis of COVID-19. …”
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    Comparison of Different Slice Thicknesses on Chest Computed Tomography for Evaluation of COVID-19-Associated Pneumonia
  6. 3846
    “…BACKGROUND: Timely and accurate identification of subgroup at risk for major adverse cardiovascular events among patients presenting with acute chest pain remains a challenge. Currently available risk stratification scores are suboptimal. …”
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    SVEAT score outperforms HEART score in patients admitted to a chest pain observation unit
  7. 3847
    “…In this paper, we propose a convolution neural network (CNN)-based CAD method for COVID-19 and pneumonia detection from chest X-ray images. We consider three input types for three identical base classifiers. …”
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    TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
  8. 3848
    “…Nonetheless, when compared to a chest CT, a significant chest X-ray remains a less expensive procedure. …”
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    An intelligent deep convolutional network based COVID-19 detection from chest X-rays
  9. 3849
    “…OBJECTIVES: En-bloc complete resection remains the treatment of choice for localized chest wall (CW) tumors. Titanium bars reconstruction demonstrated encouraging results with satisfactory early outcomes. …”
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    Long-term outcomes after chest wall resection and repair with titanium bars and sternal plates
  10. 3850
    “…SIMPLE SUMMARY: Chest wall metastasis at biopsy site (CWM) is still an unsolved problem in malignant pleural mesothelioma (MPM) due to its aggressive invasiveness. …”
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    Incidence and Risk Factors of Chest Wall Metastasis at Biopsy Sites in Patients with Malignant Pleural Mesothelioma
  11. 3851
    “…Blunt high-energy chest trauma is often associated with thoracic and abdominal organ injuries. …”
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    Combined Disruption of the Thoracic Spine and Costal Arch Fracture: An Indicator of a Severe Chest Trauma
  12. 3852
    “…Background: Over the last 100 years, the original three-bottle chest drainage system has been variously engineered into compact disposables and electronic units. …”
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    Chest Drainage Therapy: What Comes out of Pandora’s Box Can Affect Patient Outcomes
  13. 3853
    “…This paper proposes ensemble learning techniques for detecting pneumoconiosis disease in chest X-ray radiographs (CXRs) using multiple deep learning models. …”
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    Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
  14. 3854
    “…According to the ATLS guidelines [American College of Surgeon Committee on Trauma in Advanced Trauma Life Support (ATLS(®)), 10th edn, 2018], chest radiography (CXR) is one of the first-line imaging examinations in the Trauma Resuscitation Unit (TRU), especially in patients with MVI. …”
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    Diagnostic value of chest radiography in the early management of severely injured patients with mediastinal vascular injury
  15. 3855
    “…Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. …”
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    Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening
  16. 3856
    “…MATERIALS: Of 3382 patients with chest pain/discomfort or dyspnea in whom CAG was performed, 1893 were included. …”
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    Prediction of disorders with significant coronary lesions using machine learning in patients admitted with chest symptom
  17. 3857
    por Kazemi, Erfan, Sheibani, Hossein
    Publicado 2022
    “…An 87-year-old man with atypical chest pain of 1 month’s duration presented to a hospital. …”
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    Recurrent Chest Pain Due to a Huge Left Main Aneurysm: A Case Report
  18. 3858
    “…The clinical level detection of TB is usually performed using bio-medical imaging methods, and a chest X-ray is a commonly adopted imaging modality. …”
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    Tuberculosis Detection in Chest Radiographs Using Spotted Hyena Algorithm Optimized Deep and Handcrafted Features
  19. 3859
    “…Individuals with Parkinson’s disease (PD) present respiratory dysfunctions, mainly due to decreased chest wall expansion, which worsens with the course of the disease. …”
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    After-effects of thixotropic conditionings on operational chest wall and compartmental volumes of patients with Parkinson’s disease
  20. 3860
    “…In this paper, we propose a novel architecture for a convolutional neural network (CNN) ensemble for classifying chest X-ray (CRX) images into four classes: viral Pneumonia, Tuberculosis, COVID-19, and Healthy. …”
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    Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
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