Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination
Background Large language models (LLMs) have many clinical applications. However, the comparative performance of different LLMs on orthopedic board style questions remains largely unknown. Methods Three LLMs, OpenAI’s GPT-4 and GPT-3.5, and Google Bard, were tested on 189 official 2022 Orthopedic In...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-02-01
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| Series: | Journal of Orthopaedic Surgery |
| Online Access: | https://doi.org/10.1177/10225536241268789 |
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