Evaluation of the performance of large language models in clinical decision-making in endodontics
Abstract Background Artificial intelligence (AI) chatbots are excellent at generating language. The growing use of generative AI large language models (LLMs) in healthcare and dentistry, including endodontics, raises questions about their accuracy. The potential of LLMs to assist clinicians’ decisio...
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| Main Authors: | Yağız Özbay, Deniz Erdoğan, Gözde Akbal Dinçer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | BMC Oral Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12903-025-06050-x |
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