Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype
| dc.contributor.author | Terzi, Mithat | |
| dc.contributor.author | Yavuz, Mustafa Cihan | |
| dc.contributor.author | Bicer, Tayyip | |
| dc.contributor.author | Buyuk, S. Kutalmis | |
| dc.date.accessioned | 2025-11-16T19:33:54Z | |
| dc.date.issued | 2025 | |
| dc.department | İstanbul Medeniyet Üniversitesi | |
| dc.description.abstract | The aim of this study was to evaluate the reliability and quality of information generated by ChatGPT regarding dental implants and peri-implant phenotypes. A structured questionnaire on these topics was presented to the AI-based chatbot, and its responses were assessed by dental professionals using a modified Global Quality Scale (GQS) and the DISCERN tool. The study included 60 participants divided into three professional groups: oral and maxillofacial surgeons, periodontologists, and general dental practitioners. While no statistically significant differences were observed among the groups (p > 0.05), oral and maxillofacial surgeons consistently assigned lower DISCERN and GQS scores compared to other professionals. The findings of this study suggest that ChatGPT has the potential to serve as a supplementary tool for patient information in dental implant procedures. However, its responses may lack the depth and specificity required for clinical decision-making. Dental professionals should exercise caution when relying on artificial intelligence (AI) -generated content and guide patients in interpreting such information. Future research should explore the variability of AI responses, assess multiple chatbot platforms, and investigate their integration into dental clinical practice. | |
| dc.identifier.doi | 10.1038/s41598-025-94576-z | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.issue | 1 | |
| dc.identifier.pmid | 40108433 | |
| dc.identifier.scopus | 2-s2.0-105000310865 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.uri | https://doi.org/10.1038/s41598-025-94576-z | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14730/15183 | |
| dc.identifier.volume | 15 | |
| dc.identifier.wos | WOS:001449556200013 | |
| dc.identifier.wosquality | N/A | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.language.iso | en | |
| dc.publisher | Nature Portfolio | |
| dc.relation.ispartof | Scientific Reports | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.snmz | KA_WOS_20250302 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Dental implant | |
| dc.subject | Patient information | |
| dc.subject | Peri-Implant | |
| dc.title | Evaluation of artificial intelligence robot's knowledge and reliability on dental implants and peri-implant phenotype | |
| dc.type | Article |










