DENTOMAKSİLLOFASİYAL RADYOLOJİDE YAPAY ZEKA UYGULAMALARININ ROLÜ: BÖLÜM 1

Year 2022, , 713 - 720, 24.08.2022

Elif Şener , Güniz Baksi Şen

https://doi.org/10.15311/selcukdentj.853884

Abstract

Günümüzde bilgisayar destekli görüntüleme teknikleri ve görüntü analiz yöntemlerinin kullanımının hızlanması; konvansiyonel hasta tedavi yaklaşımını da değiştirmiştir. Gerek medikal gerekse dental tanı ve tedavi planlamasında yararlanılan yapay zeka uygulamaları; hayatımızın her alanında olduğu gibi dental alanda da devrim yaratmıştır. İnsan zekasını taklit eden ve topladıkları bilgilere göre yinelemeli olarak kendilerini geliştirebilen sistemler anlamına gelen yapay zeka; hız artışı, yüksek başarı, düşük maliyet, ulaşılabilirlik ve işlerde optimizasyon gibi birçok avantajı ile günümüzde sağlık alanında giderek daha sıklıkla kullanılır hale gelmektedir. Bundan en çok etkilenecek disiplinlerin başında temel tanıya destek olan ve diğer tüm disiplinlere tanısal açıdan destek veren radyolojidir. Bu derlemenin amacı; dişhekimliğinin farklı disiplinlerinde radyolojik verilerden yararlanılarak gerçekleştirilen yapay zeka uygulamalarının tanı ve tedavi aşamalarındaki avantaj, dezavantaj ve sınırlıklarını tartışmaktır.

Keywords

dijital görüntüleme, dentomaksillofasiyal radyoloji, yapay zeka, dental

ROLE OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN DENTOMAXILLOFACIAL RADIOLOGY: PART 1

Abstract

Nowadays, the acceleration of the use of computer-aided imaging techniques and image analysis methods has also changed the conventional patient treatment approach. Artificial intelligence applications utilized in both medical and dental diagnosis and treatment planning has revolutionized the dental field, as in all areas of our lives. Artificial intelligence, system imitating human intelligence and improving itself recursively according to the collected information, is more often used in healthcare with many advantages such as speed increase, high success, low cost, accessibility and optimization in work. One of the disciplines that will be most affected by this development is radiology, which supports basic diagnosis and provides diagnostic support to all other medical disciplines. The purpose of this review is to discuss the advantages, disadvantages and limitations of artificial intelligence applications realized using radiological data for diagnosis and treatment stages in different disciplines of dentistry.

Keywords

digital imaging, dentomaxillofacial radiology, artificial intelligence, dental,

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