Akademik Veri Yönetim Sistemi
Journal of Multidisciplinary Dental Research, cilt.11, sa.2, ss.69-75, 2025 (Hakemli Dergi)
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, a pioneering field, underlies image-based decision support systems, which use statistics and artificial intelligence to extract quantitative data from medical pictures. Quality and accuracy are required throughout the radiomics workflow, including image acquisition, model construction, and clinical application. Due to the complexity of maxillofacial anatomy, radiomics and artificial intelligence using cross-sectional three-dimensional imaging techniques like CT and CBCT have gained popularity in dentistry. Clinical models must meet accuracy, repeatability, and generalizability standards. Future research expects radiomics to improve dentistry diagnosis, treatment planning, and disease prognosis.