Comparison of diagnoses made by dentistry students and by artificial intelligence dentists

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dc.contributor.authorBahadır, Hasibe Sevilay
dc.contributor.authorKeskin, Neslihan Büşra
dc.contributor.authorKurşun Çakmak, Emine Şebnem
dc.contributor.authorGüneç, Gürkan
dc.contributor.authorCesur Aydın, Kader
dc.contributor.authorSarı, Saliha Kübra
dc.date.accessioned2025-12-10T09:47:24Z
dc.date.available2025-12-10T09:47:24Z
dc.date.issued2025
dc.departmentİstanbul Medipol Üniversitesi, Diş Hekimliği Fakültesi, Ağız, Diş ve Çene Radyolojisi Ana Bilim Dalı
dc.description.abstractObjectives: The introduction of artificial intelligence (AI) about great changes in the field of dentistry, but it has not yet been fully determined in which areas it will make a positive contribution to dentistry students. The objective of our study was to compare the diagnostic accuracy of undergraduate students (fourth-year dentistry students [4DS] and final-year dentistry students [5DS]) and AI when examining panoramic radiographs. Methods: Fifty panoramic radiographs and 1602 teeth were examined by 50 4DS who had not received a clinical practice internship, 50 5DS, and an AI application. The participants and the AI application evaluated the teeth seen in each radiograph one by one in terms of caries, fillings, teeth with root canal treatment, periodontal loss, extractions, crowns, teeth with apical lesions, and impacted and extracted teeth. Findings were recorded in an Excel chart. Chi-square analysis was used to compare diagnostic success between the groups. Results: The results indicate that there was a statistically significant difference in the identified accuracy of caries, fillings, and extractions between the AI application and undergraduate students (p < 0.05). Although AI showed more identified accuracy in teeth with apical lesions, impacted teeth, and teeth with root canal treatment than in undergraduate students, there was no significant difference between them (p > 0.05). Conclusion: AI exhibited better results than undergraduate students especially in the detection of caries and fillings. AI could improve undergraduates’ accuracy in detecting caries, fillings, and extractions and help them make accurate treatment decisions. In cases where dentistry students are examining patients using panoramic radiographs, employing AI programs during their clinical training to confirm and strengthen the student's diagnosis may be a promising new development.
dc.identifier.citationBahadır, H. S., Keskin, N. B., Kurşun Çakmak, E. Ş., Güneç, G., Cesur Aydın, K. ve Sarı, S. K. (2025). Comparison of diagnoses made by dentistry students and by artificial intelligence dentists. Journal of Dental Education, 89(7), 1165-1173. http://dx.doi.org/10.1002/jdd.13810
dc.identifier.doi10.1002/jdd.13810
dc.identifier.endpage1173
dc.identifier.issn0022-0337
dc.identifier.issn1930-7837
dc.identifier.issue7
dc.identifier.pmid39707922
dc.identifier.scopus2-s2.0-85212762041
dc.identifier.scopusqualityQ2
dc.identifier.startpage1165
dc.identifier.urihttp://dx.doi.org/10.1002/jdd.13810
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13319
dc.identifier.volume89
dc.identifier.wosWOS:001381609200001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorCesur Aydın, Kader
dc.institutionauthorid0000-0002-6429-4197
dc.language.isoen
dc.relation.ispartofJournal of Dental Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial Intelligence
dc.subjectCommunication
dc.subjectDentist Trust
dc.subjectDiagnosis
dc.subjectMachine Learning
dc.subjectPatients
dc.titleComparison of diagnoses made by dentistry students and by artificial intelligence dentists
dc.typeArticle

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