Accuracy of latest large language models in answering multiple choice questions in dentistry: A comparative study.
<h4>Objectives</h4>This study aims to evaluate the performance of the latest large language models (LLMs) in answering dental multiple choice questions (MCQs), including both text-based and image-based questions.<h4>Material and methods</h4>A total of 1490 MCQs from two board review books for the Un...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science (PLoS)
2025-01-01
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| Serija: | PLoS ONE |
| Online dostop: | https://doi.org/10.1371/journal.pone.0317423 |
| Oznake: |
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