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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?

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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 Imaging

Hashtags

#ForeignBodyAspiration#PediatricPulmonology#DeepLearning#AIinMedicine

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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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