Medical Informatics IV

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CHAPTER


DOI :10.26650/B/T3.2024.40.027   IUP :10.26650/B/T3.2024.40.027    Full Text (PDF)

Use of Artificial Intelligence in Dentistry

Dilan Topkıran, Ümit Begüm Güray Efes

The objective of this review was to quantify the frequency of artificial intelligence (AI) utilization in dentistry. Literature from 2009 until 2023 was evaluated, and the main inclusion criterion was original articles or reviews focused on the dental applications of AI. The following MeSH (medical subject headings) keywords were used: artificial intelligence, dentistry, AI in dentistry, neural Networks and dentistry, machine learning, AI dental imaging and AI treatment recommendations in dentistry. Advanced technology is being employed to streamline work flow, asists with treatment planning, and enhance patient-provider relationships in dental practices. One of the latest advancements in dental innovation and technology is the use of artificial intelligence. To comprehend the current and future clinical applications of AI in dentistry, it is necessary to understand the fundamental AI technologies. AI encompasses fundamental Technologies such as machine learning, artificial neural networks, and deep learning. Artificial intelligence is increasingly being employed in various dental specialties, including head and neck cancer, restorative dentistry, prosthetic dental sciences, orthodontics, radiology and periodontology to enhance diagnosis, treatment planning, and patient outcomes. AI algorithms can analyze patient data, such as x-rays, computed tomography scans and medical histories, to identify patterns and make predictions about future outcomes. In conclusion, AI is currently under development and dental practitioners can perceive AI as a supplementary tool to reduce their workload and improve precision and accuracy in diagnosis, decision-making, treatment planning, prediction of treatment outcomes and disease prognosis.


Keywords: Artificial intelligence, artificial neural networks, machine learning, dental imaging, dentistry
DOI :10.26650/B/T3.2024.40.027   IUP :10.26650/B/T3.2024.40.027    Full Text (PDF)

Di̇ş Heki̇mli̇ği̇nde Yapay Zekânın Kullanımı

Dilan Topkıran, Ümit Begüm Güray Efes

Bu inceleme, diş hekimliğinde yapay zekâ (YZ) kullanımının sıklığını nicelendirmeyi amaçlamaktadır. 2009’dan 2023’e kadar olan literatür değerlendirilmesinde ana dahil etme kriteri, diş hekimliği alanındaki YZ uygulamalarına odaklanan orijinal makaleler veya incelemelerdir. Buradaki tıp konu başlıkları (MeSH-medical subject headings) anahtar kelimeleri kullanılmış; yapay zekâ, diş hekimliği, diş hekimliğinde zekâ, sinir ağları ve diş hekimliği, makine öğrenimi, zekâ diş görüntüleme ve diş hekimliğinde zekâ tedavi önerileri başlıkları dahil edilmiştir. Diş hekimliği pratiğinde iş akışını düzenlemek, tedavi planlamasına yardımcı olmak ve hasta-hekim ilişkilerini geliştirmek için ileri teknoloji kullanılmaktadır. Diş hekimliği alanındaki son yeniliklerden biri de yapay zekâ kullanımıdır. Diş hekimliğinde YZ’nın mevcut ve gelecekteki klinik uygulamalarını anlamak için temel YZ teknolojilerini anlamak gerekmektedir. YZ, makine öğrenimi, yapay sinir ağları ve derin öğrenme gibi temel teknolojileri içermektedir. Baş-boyun kanseri, restoratif diş hekimliği, protetik diş tedavisi, ortodonti, radyoloji ve periodontoloji dahil olmak üzere çeşitli diş hekimliği alanlarında teşhis, tedavi planlaması ve sonuçlarını geliştirmek için YZ kullanımı giderek artmaktadır. YZ algoritmaları, hastanın röntgenlerini, bilgisayarlı tomografi taramalarını ve tıbbi geçmiş gibi verilerini analiz ederek gelecekteki sonuçlar hakkında tahminlerde bulunabilmektedir. Sonuç olarak, YZ şu anda gelişme aşamasında olup diş hekimleri tarafından iş yükünü azaltmak, teşhis, karar verme, tedavi planlaması, tedavi sonuçlarının tahmin edilmesi ve hastalık prognozu gibi alanlarda hassasiyet ve doğruluğu artırmak için yardımcı bir araç olarak görülmektedir.


Keywords: Yapay zekâ, yapay sinir ağları, makine öğrenmesi, diş görüntülemesi, diş hekimliği

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