Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models

Abstract

LLMs show promise as supportive resources in pediatric ORL, particularly in theoretical learning and standardized cases. However, significant limitations remain, including source transparency and contextual communication in patient interactions. Human oversight is essential to mitigate risks. Future developments should focus on refining AI capabilities for evidence-based and empathetic communication to support both clinicians and families.

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