Materias dentro de su búsqueda.
Mostrando 5,201 - 5,220 Resultados de 47,755 Para Buscar '"Cheste"', tiempo de consulta: 0.48s Limitar resultados
  1. 5201
    “…To inform recommendations and practice regarding the use of chest CT in the in the trauma setting, we sought to identify, appraise, and summarize the available evidence on the diagnostic accuracy of chest CT for diagnosis of COVID-19, and its application in emergency trauma surgery patients; overcoming limitations of previous reports regarding chest CT accuracy and discussing important considerations regarding its role in this setting. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    An Umbrella Review With Meta-Analysis of Chest Computed Tomography for Diagnosis of COVID-19: Considerations for Trauma Patient Management
  2. 5202
    “…In this paper, we propose a CAD system for Pneumonia detection from Chest X-rays, using the concepts of deep learning and a meta-heuristic algorithm. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays
  3. 5203
    por Pink, Kevin
    Publicado 2022
    “…Esophageal foreign body ingestion is a cause of non-cardiac chest pain and can be associated with significant mortality. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The Case of the Missing Dentures: A Case Report and Review of Esophageal Foreign Body as a Cause of Chest Pain
  4. 5204
    “…Women may hesitate to search for emergency care when experiencing chest pain, which delays treatment. OBJECTIVE: Our aim was to evaluate the changes in emergency visits for chest pain according to sex and age during the COVID-19 pandemic period compared with previous years. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Sex- and Age-Related Impact of the COVID-19 Pandemic on Emergency Department Visits for Chest Pain in Curitiba, Brazil
  5. 5205
    por Appasami, G., Nickolas, S.
    Publicado 2022
    “…Chest X-ray image analysis is relatively time efficient than compared with RT-CPR and CT scan. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A deep learning-based COVID-19 classification from chest X-ray image: case study
  6. 5206
    “…OBJECTIVE: The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. METHOD: The transfer learning method was used to train a convolutional neural network (CNN) model with an external image dataset to extract the image features. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs
  7. 5207
    por Chen, Lin, Bribriesco, Alejandro C.
    Publicado 2022
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Commentary: Back(ward) to the future—novel technique of inverted left lung–right chest lung transplant in rats
  8. 5208
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Commentary: New technology impact on chest tube clotting after cardiac surgery. A possible paradigm shift?
  9. 5209
    “…METHODS: Medical records of 216 patients admitted in two major teaching hospitals (Namazi and Shahid Faghihi), who had undergone chest radiography and at least one type of chest CT were investigated. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Evaluation of the appropriate use of chest CT-Scans in the diagnosis of hospitalized patients in shiraz teaching hospitals, Southern Iran
  10. 5210
    “…OBJECTIVE: To review the prognostic usefulness of chest X-rays in selecting patients with suspected SARS-CoV-2 infection. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Usefulness of chest X-rays for detecting COVID 19 pneumonia during the SARS-CoV-2 pandemic()
  11. 5211
    “…Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks
  12. 5212
    “…BACKGROUND: The feasibility and benefits of continuous sustained inflations (SIs) during chest compressions (CCs) during delayed cord clamping (physiological-based cord clamping; PBCC) are not known. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Single versus continuous sustained inflations during chest compressions and physiological-based cord clamping in asystolic lambs
  13. 5213
    “…CONCLUSION: The results suggest that the registration method can be applied to assist in the evaluation of longitudinal changes of COVID-19 lesions on chest CT.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Dynamic change of COVID-19 lung infection evaluated using co-registration of serial chest CT images
  14. 5214
    “…CONCLUSION: Paraguay has an AI-based telemedicine screening system for the rapid stratified detection of COVID-19 from chest CT images of patients with respiratory conditions. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Rapid screening for COVID-19 by applying artificial intelligence to chest computed tomography images: A feasibility study
  15. 5215
    “…Blunt chest trauma following a motor vehicle accident is the leading cause of non-penetrating cardiac injuries. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Repair of coronary sinus shear stress injury following blunt chest trauma using adenosine-induced asystole
  16. 5216
    “…Detecting positive patients from chest X-ray images is a quick and efficient solution for overloaded hospitals. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss
  17. 5217
    Publicado 2021
    “…Although rarely reported, EES affecting the anterior chest wall may present as a breast mass. We report a case of EES arising from the chest wall and manifesting as a palpable breast mass in a 22-year-old woman. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Extraskeletal Ewing Sarcoma of the Chest Wall Manifesting as a Palpable Breast Mass: Ultrasonography, CT, and MRI Findings
  18. 5218
    “…Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image mixing of local regions was introduced to achieve data augmentation and reduce noise. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention
  19. 5219
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Successful Implementation of an Artificial Intelligence-Based Computer-Aided Detection System for Chest Radiography in Daily Clinical Practice
  20. 5220
    “…MATERIAL AND METHODS: Consecutive contrast-enhanced (CE) and non-CE chest CT exams with “normal” TA diameters according to their radiology reports were included. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort
Herramientas de búsqueda: RSS