Scientific accuracy of large language models in tilted implant dentistry: A guideline-based comparative evaluation

Basit Öğe Kaydı
dc.authorid0000-0003-4980-6091
dc.authorid0000-0002-3217-6858
dc.authorid0000-0002-6086-5490
dc.contributor.authorYıldız, Mehmet S.
dc.contributor.authorAlkap, Melek
dc.contributor.authorÖzdal, Umut
dc.contributor.authorÖzdal Zincir, Özge
dc.date.accessioned2026-04-28T12:13:38Z
dc.date.available2026-04-28T12:13:38Z
dc.date.issued2026
dc.departmentFakülteler, Diş Hekimliği Fakültesi, Klinik Bilimler Bölümü, Protetik Diş Tedavisi Ana Bilim Dalı
dc.description.abstractTilted dental implant systems are widely used in the rehabilitation of anatomically compromised jaws and are supported by international consensus guidelines. Concurrently, large language models (LLMs) are increasingly accessed as informational tools in implant dentistry; however, their scien tific accuracy and adherence to guideline-based principles in advanced implant concepts remain insufficiently explored. This study evaluated the scientific accuracy, guideline conformity, and clinical consistency of responses generated by 4 LLMs regarding tilted dental implant systems. A total of 120 guide line-based questions covering 8 predefined domains (definition, indications, contraindications, advantages, surgical procedure content, prosthetic procedure content, complications, and prognosis/survival) were developed in accordance with ITI, EAO, and AAOMS consensus reports. Each question was in dependently submitted to ChatGPT-5.2, Copilot, DeepSeek, and Gemini, and all responses were anonymized and evaluated by a multidisciplinary expert panel using a structured ordinal scoring system. Overall, scientific accuracy scores were high across all models, with near-ceiling performance observed in domains related to indications, advantages, procedural con tent, and prognosis. Statistically significant between-model differences were identified in the definition (P = 0.003), con traindications (P = 0.006), and complications (P < 0.001) do mains, with DeepSeek and Gemini demonstrating consistently higher scores in complication-related content compared with ChatGPT and Copilot. Within-model analyses further revealed significant domain-dependent variability across all LLMs. Al-though LLMs demonstrate a strong capacity to reproduce es tablished, guideline-based knowledge regarding tilted implant systems, limitations remain in safety-critical domains requiring nuanced clinical judgment. Accordingly, LLMs should be re garded as adjunctive educational tools rather than substitutes for expert decision-making in craniofacial implantology.
dc.identifier.citationYıldız, M. S., Alkap, M., Özdal, U., & Özdal Zincir, Ö. (2026). Scientific accuracy of large language models in tilted implant dentistry: A guideline-based comparative evaluation. The Journal of Craniofacial Surgery, pp. 1-5. https://doi.org/10.1097/SCS.0000000000012768
dc.identifier.doi10.1097/SCS.0000000000012768
dc.identifier.endpage5
dc.identifier.issn1049-2275
dc.identifier.issn1536-3732
dc.identifier.pmidPMID: 42011987
dc.identifier.scopusqualityQ3
dc.identifier.startpage1
dc.identifier.urihttps://doi.org/10.1097/SCS.0000000000012768
dc.identifier.urihttps://hdl.handle.net/20.500.13055/1448
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.indekslendigikaynak.otherSCI-E - Science Citation Index Expanded
dc.institutionauthorÖzdal, Umut
dc.institutionauthorid0000-0002-3217-6858
dc.language.isoen
dc.publisherWolters Kluwer
dc.relation.ispartofThe Journal of Craniofacial Surgery
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Intelligence
dc.subjectImplant Dentistry
dc.subjectLarge Language Models
dc.subjectTilted Dental Implants
dc.titleScientific accuracy of large language models in tilted implant dentistry: A guideline-based comparative evaluation
dc.typeArticle
dspace.entity.typePublication

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Kapalı Erişim
İsim:
Tam Metin / Full Text.pdf
Boyut:
324.64 KB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Kapalı Erişim
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Protetik Diş Tedavisi Ana Bilim Dalı Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu