AIMC Topic: Respiratory Aspiration

Clear Filters Showing 1 to 2 of 2 articles

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 Oct 19, 2024
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.
Humans Retrospective Studies Female Sensitivity and Specificity Male Infant Deep Learning Child, Preschool Child Bronchoscopy Foreign Bodies Respiratory Aspiration
View on PubMed DOI

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

The Laryngoscope Feb 17, 2024
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...
Humans Machine Learning Algorithms Retrospective Studies Female Sensitivity and Specificity Male Infant Adolescent Child, Preschool Child Radiography, Thoracic Foreign Bodies Respiratory Aspiration
View on PubMed DOI
Popular Topics
Recent Journals