From algorithms to empathy: can large language models effectively answer patients' questions in restorative dentistry?
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| Title: | From algorithms to empathy: can large language models effectively answer patients' questions in restorative dentistry? |
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| Authors: | Cangül S; Faculty of Dentistry, Department of Restorative Dentistry, Dicle University, Diyarbakır, 21280, Türkiye., Taşyürek M; Faculty of Dentistry, Department of Endodontics, Dicle University, Diyarbakır, 21280, Türkiye., Tunç T; Faculty of Dentistry, Department of Restorative Dentistry, Dicle University, Diyarbakır, 21280, Türkiye., Adıgüzel Ö; Faculty of Dentistry, Department of Endodontics, Dicle University, Diyarbakır, 21280, Türkiye. ozkanadiguzel@dicle.edu.tr., Ortaç H; Faculty of Medicine, Department of Biostatistics, Dicle University, Diyarbakır, 21280, Türkiye. |
| Source: | BMC oral health [BMC Oral Health] 2026 Apr 10; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 10. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088684 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6831 (Electronic) Linking ISSN: 14726831 NLM ISO Abbreviation: BMC Oral Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1472-6831 |
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| DOI: | 10.1186/s12903-026-08255-0 |
