Purpose The aim of this study was to evaluate the diagnostic performance of artificial
intelligence (AI) application evaluating of the impacted third molar teeth in Cone-beam
Computed Tomography (CBCT) images. Material and methods In total, 130 third molar teeth
(65 patients) were included in this retrospective study. Impaction detection, Impacted tooth
numbers, root/canal numbers of teeth, relationship with adjacent anatomical structures
(inferior alveolar canal and maxillary sinus) were compared between the human observer …