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  1. 5061
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    Correction: ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
  2. 5062
    Materias: “…CHEST Pearls…”
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    A 24-Year-Old Man With Hemoptysis Found to Have a Chest Mass and Contralateral Axillary Lymphadenopathy
  3. 5063
    “…BACKGROUND: The aim of this study was to evaluate long-term longitudinal changes in chest computed tomography (CT) findings in coronavirus disease 2019 (COVID-19) survivors and their correlations with dyspnea after discharge. …”
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    Long-term chest CT follow-up in COVID-19 Survivors: 102–361 days after onset
  4. 5064
    “…The chest wall was simulated by 3D technology, and a model was obtained by 3D printing. …”
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    Online Artículo Texto
    Chest wall reconstruction with digitally designed materials for straight back syndrome with tracheal stenosis: a case report
  5. 5065
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    Differential diagnosis of COVID-19 at the chest computed tomography scan: A review with special focus on cancer patients
  6. 5066
    “…The proposed BMO-CRNN model aims to detect and classify the existence of COVID-19 from Chest X-ray images. Initially, pre-processing is applied to enhance the quality of the image. …”
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    An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images
  7. 5067
    “…However, anastomoses of DIEP pedicles to internal mammary vessels in the chest wall are difficult due to restricted access and the depth of the vessels. …”
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    3D Printed Chest Wall: A Tool for Advanced Microsurgical Training Simulating Depth and Limited View
  8. 5068
    “…OBJECTIVES: The biomechanics of the healthcare professionals (HCPs) performing the life-saving intervention of chest compressions in the neonatal population is poorly understood. …”
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    Impact of bed height on the biomechanics of healthcare professionals during chest compressions on the neonate: a descriptive pilot study
  9. 5069
    por Kikukawa, Motohiro, Kuriyama, Akira
    Publicado 2021
    “…BACKGROUND: Placement of an intercostal chest drain (ICD) is an essential procedure in the management of patients with chest injuries. …”
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    Massive hemothorax from injury of an anonymous vein after intercostal chest drain placement: A case report
  10. 5070
    “…During the early medical examination, it was observed that patient having abnormalities in chest radiography images shows the symptoms of COVID-19 infection. …”
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    A Fine-tuned deep convolutional neural network for chest radiography image classification on COVID-19 cases
  11. 5071
    “…Purpose: We propose a deep learning method for the automatic diagnosis of COVID-19 at patient presentation on chest radiography (CXR) images and investigates the role of standard and soft tissue CXR in this task. …”
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    Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19
  12. 5072
    “…OBJECTIVE: The objective of this study is to determine the agreement between a chest-worn patch (VitalPatch) and a gold standard reference device for HR and RR measurements during movement and gradual desaturation (modeling a hypoxic episode) in a controlled environment. …”
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    A Chest Patch for Continuous Vital Sign Monitoring: Clinical Validation Study During Movement and Controlled Hypoxia
  13. 5073
    “…BACKGROUND: Currently, the risk stratification of critically ill patient with chest pain is a challenge. We aimed to use machine learning approach to predict the critical care outcomes in patients with chest pain, and simultaneously compare its performance with HEART, GRACE, and TIMI scores. …”
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    A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department
  14. 5074
    Materias: “…Chest Infections…”
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    COMPUTERIZED TOMOGRAPHY OF CHEST AND ABSOLUTE LYMPHOCYTE COUNT AS PREDICTOR OF POSITIVE SARS-COV-2 POLYMERASE CHAIN REACTION
  15. 5075
    “…In this paper, the Apache Spark system has been utilized as an extensive data framework and applied a Deep Transfer Learning (DTL) method using Convolutional Neural Network (CNN) three architectures —InceptionV3, ResNet50, and VGG19—on COVID-19 chest X-ray images. The three models are evaluated in two classes, COVID-19 and normal X-ray images, with 100 percent accuracy. …”
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    Detection of COVID-19 in Chest X-ray Images: A Big Data Enabled Deep Learning Approach
  16. 5076
    “…PURPOSE: Chest x-rays are a fast and inexpensive test that may potentially diagnose COVID-19, the disease caused by the novel coronavirus. …”
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    COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network
  17. 5077
    “…AIM: To evaluate the associations between CC7 and total- and cardiac mortality in patients hospitalized with chest-pain of suspected coronary origin, and whether combining CC7 with hsCRP adds prognostic information. …”
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    Complement component 7 is associated with total- and cardiac death in chest-pain patients with suspected acute coronary syndrome
  18. 5078
    “…Chest X-rays (CXRs) are the first-line investigation in patients presenting to emergency departments (EDs) with dyspnoea and are a valuable adjunct to clinical management of COVID-19 associated lung disease. …”
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    Development and prospective validation of COVID-19 chest X-ray screening model for patients attending emergency departments
  19. 5079
    “…CONCLUSIONS: Adding handgrip strength and the performance status score to chest computed tomography-defined sarcopenia improved its prognostic ability. …”
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    Factors That Improve Chest Computed Tomography-Defined Sarcopenia Prognosis in Advanced Non-Small Cell Lung Cancer
  20. 5080
    “…Despite advantages of point-of-care ultrasound (POCUS) over chest X-ray including improved workflow and timeliness of results, POCUS-guided central venous catheter (CVC) position confirmation has slow rate of adoption. …”
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    Protocol for DRAUP: a deimplementation programme to decrease routine chest radiographs after central venous catheter insertion
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