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  1. 4521
    “…Many studies target only a single chest disease that is not enough to automate chest disease detection. …”
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    Online Artículo Texto
    AI-driven deep and handcrafted features selection approach for Covid-19 and chest related diseases identification
  2. 4522
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    Online Artículo Texto
    Surprise Foreign Body Aspiration with Pistachios in a Patient with Cystic Fibrosis with Persistent Atelectasis on Chest Radiography
  3. 4523
    “…However, examining the whole chest to detect small peripheral infarctions by LUS may be challenging. …”
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    Online Artículo Texto
    Retrospective analysis of the diagnostic accuracy of lung ultrasound for pulmonary embolism in patients with and without pleuritic chest pain
  4. 4524
    “…Coccidioidomycosis of the chest wall is a rare finding and diagnosis is often delayed. …”
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    Online Artículo Texto
    A Case of Primary Osteomyelitis of the Rib With Involvement of the Chest Wall, Presenting as a Non-Healing Abscess
  5. 4525
    “…Data were obtained at three different stool positions (without a stool, under the chest at the level that participants were performing manual chest compressions, and under the shoulders). …”
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    Online Artículo Texto
    Comparison of different methods of more effective chest compressions during cardiopulmonary resuscitation (CPR) in the dental chair
  6. 4526
    “…BACKGROUND: Chest MRI is a useful diagnostic modality for the evaluation of anterior mediastinal lesions but the outcomes of anterior mediastinal cystic lesions diagnosed on chest MRI are unclear. …”
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    Online Artículo Texto
    Characteristics and outcomes of anterior mediastinal cystic lesions diagnosed on chest MRI: implications for management of cystic lesions
  7. 4527
    “…COVID-19 detection from medical imaging is a difficult challenge that has piqued the interest of experts worldwide. Chest X-rays and computed tomography (CT) scanning are the essential imaging modalities for diagnosing COVID-19. …”
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    Online Artículo Texto
    SEL-COVIDNET: An intelligent application for the diagnosis of COVID-19 from chest X-rays and CT-scans
  8. 4528
    “…BACKGROUND AND OBJECTIVES: Chest X-ray (CXR) is a non-invasive imaging modality used in the prognosis and management of chronic lung disorders like tuberculosis (TB), pneumonia, coronavirus disease (COVID-19), etc. …”
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    Online Artículo Texto
    Disease Localization and Severity Assessment in Chest X-Ray Images using Multi-Stage Superpixels Classification
  9. 4529
    “…Accordingly, nine patients with pulmonary nocardiosis were identified, but three patients were excluded as no chest HRCT images were available. Patient clinical presentation was recorded and chest HRCT images were retrospectively reviewed. …”
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    Online Artículo Texto
    The Findings of Pulmonary Nocardiosis on Chest High Resolution Computed Tomography: Single centre experience and review of literature
  10. 4530
    Publicado 2021
    “…PURPOSE: To retrospectively evaluate the chest computed tomography (CT) findings of coronavirus disease 2019 (COVID-19) in patients with mild clinical symptoms at a single hospital in South Korea. …”
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    Chest CT Findings of COVID-19 Patients with Mild Clinical Symptoms at a Single Hospital in Korea
  11. 4531
    “…However, segmenting COVID-19-infected regions from chest CT results is challenging. Therefore, it is desirable to develop an efficient tool for automated segmentation of COVID-19 lesions using chest CT. …”
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    Online Artículo Texto
    Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images
  12. 4532
    “…The proposed framework performs early classification of patients based on collected samples of chest X-ray images and Coswara cough (sound) samples of possibly infected people. …”
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    Online Artículo Texto
    Chest X ray and cough sample based deep learning framework for accurate diagnosis of COVID-19()
  13. 4533
    “…PURPOSE: To investigate the values of a 3D-printed bolus ensuring the precise postmastectomy chest wall radiation therapy for breast cancer. METHODS AND MATERIALS: In the preclinical study on the anthropomorphic phantom, the 3D-printed bolus was used for dosimetry and fitness evaluation. …”
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    3D-printed bolus ensures the precise postmastectomy chest wall radiation therapy for breast cancer
  14. 4534
    “…Heart lacerations following a non-penetrating chest trauma are rare events, few described in the literature. …”
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    Online Artículo Texto
    A fatal case of heart and pericardium rupture after non-penetrating chest trauma by road accident
  15. 4535
    “…To identify the best transfer learning approach for the identification of the most frequent abnormalities on chest radiographs (CXRs), we used embeddings extracted from pretrained convolutional neural networks (CNNs). …”
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    Online Artículo Texto
    Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs
  16. 4536
    “…Purpose: We assessed whether a CXR AI algorithm was able to detect missed or mislabeled chest radiograph (CXR) findings in radiology reports. …”
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    Online Artículo Texto
    Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study
  17. 4537
    “…Chest X-ray (CXR) characteristics of patients with drug-resistant tuberculosis (DR-TB) depend on a variety of factors, and therefore, identifying the influence of these factors on the appearance of DR-TB in chest X-rays can help physicians improve diagnosis and clinical suspicion. …”
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    Chest X-ray Features in Drug-Resistant Tuberculosis Patients in Nigeria; a Retrospective Record Review
  18. 4538
    “…Dyspnea and chest pain are major and important causes of contact at the emergency department (ED). …”
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    Online Artículo Texto
    Outcomes in Emergency Department Patients with Dyspnea versus Chest Pain: A Retrospective Consecutive Cohort Study
  19. 4539
    “…Based on publicly available datasets, trained chest X-ray images are used to predict and identify various pneumonia diseases. …”
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    Online Artículo Texto
    COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario
  20. 4540
    “…As a result, 36 patients with chest pain participated, and 33 of them were analyzed. …”
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    Online Artículo Texto
    Intervention in the Timeliness of Two Electrocardiography Types for Patients in the Emergency Department With Chest Pain: Randomized Controlled Trial
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