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Respiratory Aspiration

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Automated Detection of Pediatric Foreign Body Aspiration from Chest X-rays Using Machine Learning.

The Laryngoscope 38366768
OBJECTIVE/HYPOTHESIS: Standard chest radiographs are a poor diagnostic tool for pediatric foreign body aspiration. Machine learning may improve upon the diagnostic capabilities of chest radiographs. The objective is to develop a machine learning algo...
Adolescent Algorithms Child Child, Preschool Female Foreign Bodies Humans Infant Machine Learning Male Radiography, Thoracic Respiratory Aspiration Retrospective Studies Sensitivity and Specificity
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The Impact of Deep Learning on Determining the Necessity of Bronchoscopy in Pediatric Foreign Body Aspiration: Can Negative Bronchoscopy Rates Be Reduced?

Journal of pediatric surgery 39489944
INTRODUCTION: This study aimed to evaluate the role of deep learning methods in diagnosing foreign body aspiration (FBA) to reduce the frequency of negative bronchoscopy and minimize potential complications.
Bronchoscopy Child Child, Preschool Deep Learning Female Foreign Bodies Humans Infant Male Respiratory Aspiration Retrospective Studies Sensitivity and Specificity
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