Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists
| dc.contributor.author | Bahadır, Hasibe Sevilay | |
| dc.contributor.author | Keskin, Neslihan Büşra | |
| dc.contributor.author | Kurşun Çakmak, Emine Şebnem | |
| dc.contributor.author | Güneç, Gürkan | |
| dc.contributor.author | Cesur Aydın, Kader | |
| dc.contributor.author | Peker, Fatih | |
| dc.date.accessioned | 2025-08-29T11:40:49Z | |
| dc.date.available | 2025-08-29T11:40:49Z | |
| dc.date.issued | 2025 | |
| dc.department | İstanbul Medipol Üniversitesi, Diş Hekimliği Fakültesi, Ağız, Diş ve Çene Radyolojisi Ana Bilim Dalı | |
| dc.description.abstract | Objectives: This study intended to evaluate patients’ attitudes toward the use of AI in dental radiographic detection of occlusal caries and the impact of AI-based diagnosis on their trust in dentists. Methods: A total of 272 completed questionnaires were included in this study. In the first part of the study, approval was obtained from the patients, and data were collected about their socio-demographic characteristics. In the second part the 11-item Dentist Trust Scale was applied. In the third and fourth parts, there were questions about two clinical scenarios, the patients’ knowledge of attitudes toward AI, and how the AI-based diagnosis had affected their trust. Evaluation was performed using a Likert-type scale. Data were analyzed with the Chi-square, one-way ANOVA, and ordinal logistic regression tests (p < 0.05). Results: The patients believed that “AI is useful” (3.86 ± 1.03) and were not afraid of the use of AI in dentistry (2.40 ± 1.05). Educational level was considerably related to the patients’ attitudes to the use of AI for dental diagnostics (p < 0.05). The patients stated that “dentists are extremely thorough and careful” (4.39 ± 0.77). Conclusions: The patients displayed a positive attitude to AI-based diagnosis in the dental field and appear to exhibit trust in dentists. The use of Al in routine clinical practice can provide important benefit to physicians as a clinical decision support system in dentistry and understanding patients’ attitudes may allow dentists to shape AI-supported dentistry in the future. | |
| dc.identifier.citation | Bahadır, H. S., Keskin, N. B., Kurşun Çakmak, E. Ş., Güneç, G., Cesur Aydın, K. ve Peker, F. (2025). Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists. Oral Radiology, 41(1), 52-59. http://dx.doi.org/10.1007/s11282-024-00775-1 | |
| dc.identifier.doi | 10.1007/s11282-024-00775-1 | |
| dc.identifier.endpage | 59 | |
| dc.identifier.issn | 0911-6028 | |
| dc.identifier.issn | 1613-9674 | |
| dc.identifier.issue | 1 | |
| dc.identifier.pmid | 39379636 | |
| dc.identifier.scopus | 2-s2.0-85205756290 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.startpage | 52 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s11282-024-00775-1 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/13042 | |
| dc.identifier.volume | 41 | |
| dc.identifier.wos | WOS:001331245700001 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.institutionauthor | Cesur Aydın, Kader | |
| dc.institutionauthorid | 0000-0002-6429-4197 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Oral Radiology | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Communication | |
| dc.subject | Dentist Trust | |
| dc.subject | Diagnosis | |
| dc.subject | Machine Learning | |
| dc.subject | Patients | |
| dc.title | Patients' attitudes toward artificial intelligence in dentistry and their trust in dentists | |
| dc.type | Article |
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