Benefits of Artificial Intelligence to Dental Practice

Year 2023, Volume: 2 Issue: 3, 278 - 287, 26.01.2024

Cihan Akdoğan , Hatice Özdemir

https://doi.org/10.58711/turkishjdentres.vi.1296215

Cited By: 1

Abstract

One of the newest fields in science and engineering which is “Artificial intelligence”, refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Artificial intelligence has tremendous potential to improve patient care and revolutionize
the health care field when applied to medicine and dentistry. Owing to the powerful capabilities of artificial intelligence algorithms in data analysis, it is expected to identify normal and abnormal structures, increase the accuracy and efficiency of diagnosis, provide visualized anatomical guidance for
treatment, and predict and evaluate prospective results, in dentistry. The purpose of this review is to explain in dentistry, the application areas of artificial intelligence which has gained more importance with the developing technology today.

Keywords

deep learning, dentistry, convolutional neural networks, artificial intelligence

Yapay Zekânın Diş Hekimliği Pratiğine Kazanımları

Abstract

Bilim ve mühendislikteki en yeni alanlardan biri olan “yapay zekâ” insanlar gibi düşünmeye ve areketlerini taklit etmeye programlanmış makinelerde insan zekasının simülasyonunu ifade etmektedir. Yapay zekâ tıp ve diş hekimliğine uygulandığında hasta bakımını iyileştirmek ve sağlık alanında devrim yapmak için
muazzam bir potansiyele sahiptir. Yapay zekâ algoritmalarının veri analizindeki güçlü yetenekleri sayesinde diş hekimliğinde normal ve anormal yapıların tanımlanması, teşhisin doğruluğunu ve etkinliğini arttırması, tedavi için görselleştirilmiş anatomik rehberlik sağlaması, ileriye dönük sonuçları tahmin etmesi ve değerlendirmesi beklenmektedir. Bu derlemenin amacı, günümüzde gelişmekte olan teknolojiyle birlikte daha da önem kazanmış olan yapay zekanın diş hekimliğinde uygulama alanlarını açıklamaktadır.

Keywords

derin öğrenme, diş hekimliği, evrişimli sinir ağları, yapay zeka

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