The Impact of Deep Learning on Determining the Necessity of Bronchoscopy in Pediatric Foreign Body Aspiration: Can Negative Bronchoscopy Rates Be Reduced?
Abstract
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.
Keywords
Foreign Body AspirationPediatric BronchoscopyDeep Learning DiagnosticsArtificial IntelligencePediatric PulmonologyDiagnostic ImagingHashtags
#ForeignBodyAspiration#PediatricPulmonology#DeepLearning#AIinMedicineThis article is published on an external journal. Click below to read the full text.
Read full article ↗How to cite: GlobalCastMD. The Impact of Deep Learning on Determining the Necessity of Bronchoscopy in Pediatric Foreign Body Aspiration: Can Negative Bronchoscopy Rates Be Reduced?. GlobalCastMD Medical Library. 2024-10-18. https://library.globalcastmd.com/article/9320
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