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Pediatric surgical trainees and artificial intelligence: a comparative analysis of DeepSeek, Copilot, Google Bard and pediatric surgeons’ performance on the European Pediatric Surgical In-Training Examinations (EPSITE)

Large language models (LLMs) have advanced rapidly, but their utility in pediatric surgery remains uncertain. This study assessed the performance of three AI models—DeepSeek, Microsoft Copilot (GPT-4) and Google Bard—on the European Pediatric Surgery In-Training Examination (EPSITE).

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Bibliographische Detailangaben
Hauptverfasser: Gnatzy, Richard (VerfasserIn) , Lacher, Martin (VerfasserIn) , Cascio, Salvatore (VerfasserIn) , Münsterer, Oliver (VerfasserIn) , Wagner, Richard (VerfasserIn) , Aubert, Ophelia (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: December 2025
In: Pediatric surgery international
Year: 2025, Jahrgang: 41, Heft: 1, Pages: 1-9
ISSN:1437-9813
DOI:10.1007/s00383-025-06104-9
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00383-025-06104-9
Volltext
Verfasserangaben:Richard Gnatzy, Martin Lacher, Salvatore Cascio, Oliver Münsterer, Richard Wagner, Ophelia Aubert
Beschreibung
Zusammenfassung:Large language models (LLMs) have advanced rapidly, but their utility in pediatric surgery remains uncertain. This study assessed the performance of three AI models—DeepSeek, Microsoft Copilot (GPT-4) and Google Bard—on the European Pediatric Surgery In-Training Examination (EPSITE).
Beschreibung:Online veröffentlicht: 8. August 2025
Gesehen am 06.11.2025
Beschreibung:Online Resource
ISSN:1437-9813
DOI:10.1007/s00383-025-06104-9

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