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).
Gespeichert in:
| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
December 2025
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| 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
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| Verfasserangaben: | Richard Gnatzy, Martin Lacher, Salvatore Cascio, Oliver Münsterer, Richard Wagner, Ophelia Aubert |
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| 520 | |a 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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