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Saharon Less Elazari

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Articles

Artificial Intelligence in Pediatric Bronchoscopy: Current Evidence and Future Perspectives

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By Patrick Stafler, Gray Faculty, Saharon Less Elazari
| Wiley Online Library Verified
1 Introduction Advances in artificial intelligence (AI) are poised to transform bronchoscopy, a field historically dependent on the skill and experience of the operator. In adult gastrointestinal endoscopy, AI-based computer-aided detection/diagnosis (CADe/CADx) systems have already demonstrated increased tumor and polyp detection rates [1]. By analogy, bronchoscopy could benefit from AI assistance for identifying anatomical landmarks or airway lesions.
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