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Endodontide yapay zekânın yükselişi: Tanı, tedavi ve eğitimde bütüncül bir yaklaşım

The rise of artificial intelligence in endodontics: An integrated approach to diagnosis, treatment, and education

Ali Kara(NEVŞEHİR HACI BEKTAŞ VELİ ÜNİVERSİTESİ, DİŞ HEKİMLİĞİ FAKÜLTESİ)0009-0002-4468-6916
Dolu Kaya(NEVŞEHİR HACI BEKTAŞ VELİ ÜNİVERSİTESİ, DİŞ HEKİMLİĞİ FAKÜLTESİ)0000-0001-8466-2391
Sayfa
1129–1146
Yayın Tarihi
2026-09-26
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Amaç, diş hekimleri ve araştırmacılara, YZ’nin endodontideki güncel rolü ve gelecekteki gelişim alanları hakkında bütüncül ve güncel bir bakış açısı sunmaktır.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Bu derleme, yapay zekânın (YZ) endodonti alanındaki mevcut ve potansiyel uygulamalarını kapsamlı biçimde ele almaktadır.
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Temel Bulgular & Veri:Endodontik tanı, tedavi planlaması, tedavi uygulaması ve prognoz öngörüsünde YZ destekli yaklaşımlar, güncel araştırmalar ışığında değerlendirilmiştir.
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Sonuç & Katkı:Amaç, diş hekimleri ve araştırmacılara, YZ’nin endodontideki güncel rolü ve gelecekteki gelişim alanları hakkında bütüncül ve güncel bir bakış açısı sunmaktır.
🔬Tür:Deneysel Tarla Denemesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Endodonti · Kök kanal tedavisi · Prognoz

Özet

Bu derleme, yapay zekânın (YZ) endodonti alanındaki mevcut ve potansiyel uygulamalarını kapsamlı biçimde ele almaktadır. Endodontik tanı, tedavi planlaması, tedavi uygulaması ve prognoz öngörüsünde YZ destekli yaklaşımlar, güncel araştırmalar ışığında değerlendirilmiştir. Özellikle kök kırığı tespiti, rezorpsiyonun erken tanısı, kök kanalı anatomisinin değerlendirilmesi, otomatik segmentasyon yöntemleri, tedavi başarısının öngörülmesi ve klinik karar destek sistemleri üzerinde durulmuştur. Derlemede ayrıca, YZ kullanımının endodontik pratiğe getirdiği faydalar kadar, veri seti sınırlılıkları, model genellenebilirliği, açıklanabilirlik sorunları, etik ve düzenleyici boyutlar da tartışılmıştır. Amaç, diş hekimleri ve araştırmacılara, YZ’nin endodontideki güncel rolü ve gelecekteki gelişim alanları hakkında bütüncül ve güncel bir bakış açısı sunmaktır.

Abstract

This review comprehensively addresses the current and potential applications of artificial intelligence (AI) in the field of endodontics. AI-supported approaches in endodontic diagnosis, treatment planning, treatment application, and prognosis prediction are evaluated in light of current research. Emphasis is placed particularly on root fracture detection, early diagnosis of resorption, assessment of root canal anatomy, automatic segmentation methods, prediction of treatment success, and clinical decision support systems. The review also discusses the benefits of AI use in endodontic practice, as well as limitations such as dataset constraints, model generalizability, explainability issues, and ethical and regulatory dimensions. The aim is to provide dentists and researchers with a holistic and current perspective on the contemporary role of AI in endodontics and its future areas of development.

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Bu Makaleye Atıf Yap

Kara, A., Kaya, D. (2026). Endodontide yapay zekânın yükselişi: Tanı, tedavi ve eğitimde bütüncül bir yaklaşım. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, Cilt: 16 Sayı: 3, 1129–1146. https://doi.org/10.30783/nevsosbilen.1928243

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