Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation
Abstract Background Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in surgical education by offering dynamic, interactive learning experiences. Despite their potential, concerns about the accuracy, depth of knowledge, and bias in LLM responses persist. This stud...
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| Main Authors: | Chandler Hinson, Cybil Sierra Stingl, Rahim Nazerali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | BMC Medical Education |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12909-025-07550-8 |
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