From algorithms to empathy: can large language models effectively answer patients’ questions in restorative dentistry?
Abstract Background and objectives The aim of this study was to compare the responses given by the large language models (LLMs) ChatGPT-5, Gemini 2.5 Pro, DeepSeek-V3.2, and Claude Sonnet-4.5 in terms of accuracy, empathy, and readability, to frequently asked patient questions about restorative dent...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BMC
2026-04-01
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| Serier: | BMC Oral Health |
| Fag: | |
| Online adgang: | https://doi.org/10.1186/s12903-026-08255-0 |
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