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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| Main Authors: | , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
December 2025
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| In: |
Pediatric surgery international
Year: 2025, Volume: 41, Issue: 1, Pages: 1-9 |
| ISSN: | 1437-9813 |
| DOI: | 10.1007/s00383-025-06104-9 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00383-025-06104-9
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| Author Notes: | Richard Gnatzy, Martin Lacher, Salvatore Cascio, Oliver Münsterer, Richard Wagner, Ophelia Aubert |
| Summary: | 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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| Item Description: | Online veröffentlicht: 8. August 2025 Gesehen am 06.11.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1437-9813 |
| DOI: | 10.1007/s00383-025-06104-9 |