DENTOMAKSİLLOFASİYAL RADYOLOJİDE YAPAY ZEKA UYGULAMALARININ ROLÜ: BÖLÜM 2

Year 2022, Volume: 9 Issue: 2, 721 - 728, 24.08.2022

Elif Şener , Güniz Baksi Şen

https://doi.org/10.15311/selcukdentj.855538

Abstract

Dijital teknoloji alanındaki gelişmeler; gerek medikal gerekse dental alanda tanı ve tedavi planlamasında yararlanılacak yapay zeka (YZ) uygulamalarına hız vermiştir. YZ, makinelerin insan beyninin çalışmasını taklit ederek karar verme ve tahmin etme gibi çözülmesi zor olan problemlerin çözümüne imkân tanıyan bir alandır. Medikal görüntüleme; yapay zekânın bir alt dalı olan makine öğrenmesi yöntemlerinin en popüler olduğu alanlar içerisinde yer almaktadır. Günümüz medikal araştırma alanlarının başında gelen yapay zeka uygulamaları, radyoloji ve dişhekimliği alanlarında tanı ve tedavi basamaklarının daha düşük maliyet ve daha yüksek doğrulukla gerçekleşmesini sağlamıştır. Bu derlemenin amacı; yapay zekâ uygulamaları içerisinde yer alan farklı ağ mimarileri ve öğrenme algoritmalarının dental disiplinlerdeki mevcut ve potansiyel kullanım alanlarını irdelemektir.

Keywords

dijital teknoloji, yapay zeka, makine öğrenmesi, dental

ROLE OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN DENTOMAXILLOFACIAL RADIOLOGY: PART 2

Abstract

Advances in digital technology accelerated the artificial intelligence (AI) applications that can be used in diagnosis and treatment planning in both medical and dental fields. AI is a field that allows machines to solve difficult problems such as decision making and prediction by imitating the work of the human brain. Medical imaging is among the most popular areas of machine learning methods which is a sub-branch of artificial intelligence. Artificial intelligence applications, which are one of the leading medical research areas of today, have enabled diagnosis and treatment steps in the fields of radiology and dentistry to be performed with lower costs and higher accuracy. The aim of this review is to examine the current and potential areas of different network architectures and learning algorithms in dental disciplines within artificial intelligence applications

Keywords

digital technology, artificial intelligence, machine learning, dental

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