Akademik Veri Yönetim Sistemi
16. Tıp Bilişimi Kongresi: Sağlıkta Multiomiks, Ankara, Türkiye, 22 - 23 Mayıs 2025, sa.3, ss.155-167, (Tam Metin Bildiri)
Recently, the beneficial impacts of digitalization in healthcare have facilitated the advancement of innovative methodologies in diagnosis and treatment planning through the integration of medical data with artificial intelligence algorithms. Radiomics is a pioneering discipline that underpins image-based decision support systems, which seek to extract quantitative data from medical images and analyze this data using statistical and artificial intelligence methodologies. The radiomics workflow, encompassing image acquisition, model building, and clinical application, necessitates certain quality and accuracy standards at every stage. In dentistry, the applications of radiomics and artificial intelligence utilizing crosssectional three-dimensional imaging techniques, such as computed tomography (CT) and cone beam computed tomography (CBCT), have garnered heightened interest in recent years, particularly owing to the intricate anatomy of the maxillofacial region. For clinical use, models must adhere to stringent standards of accuracy, repeatability, and generalizability. Future research anticipates that radiomics will significantly enhance dentistry in diagnosis, treatment planning, and disease prognosis prediction. Keywords: Artificial intelligence, dentistry, maxillofacial, dentistry.