Diagnostic Accuracy of Artificial Intelligence Software in Intraoral, Panoramic, and CBCT Imaging: A Pilot Study

Background/Objectives: Artificial intelligence (AI) is increasingly used in dental radiology, but its performance may depend on the imaging modality and the analytical model. This pilot (feasibility) study evaluated the diagnostic accuracy of AI-based software (Diagnocat) in intraoral, panoramic, and cone-beam computed tomography (CBCT) images against a single-expert reference standard, accounting both for indications of pathology and for indications of its absence.