Clinical Research Directory

Inclusion Criteria: * Pre-existing CBCT DICOM datasets of maxillary \& mandibular anterior \& premolar teeth. * Permanent teeth with fully developed roots and completely formed apices. * High-quality CBCT scans with sufficient image resolution and minimal artifacts to permit accurate visualization of the root canal system. * Teeth with intact root canal anatomy suitable for automated analysis of root canal length, curvature, number of roots, number of root canals, and canal morphology. * Teeth representing a wide range of normal anatomical variations and root canal configurations to ensure adequate diversity for AI model development and validation. * DICOM datasets suitable for image preprocessing, annotation, and deep learning analysis. Exclusion Criteria: * Teeth with incomplete root formation or open apices. * Teeth that have undergone previous endodontic treatment, retreatment, apexification, regenerative endodontic procedures, or root-end surgery. * Teeth with extensive coronal destruction, large restorations, metallic posts, intracanal filling materials, or crowns that obscure the root canal anatomy. * Teeth with root fractures, perforations, internal or external root resorption, severe root dilacerations, or other conditions that interfere with accurate anatomical assessment. * Teeth associated with extensive periapical lesions, cysts, tumors, or other pathological conditions that significantly alter the normal root canal anatomy. * Teeth with developmental anomalies affecting root morphology, including fusion, gemination, dens invaginatus, dens evaginatus, taurodontism, * CBCT datasets with severe motion artifacts, beam-hardening artifacts, metallic artifacts, excessive image noise, or poor image quality that compromises accurate image analysis. * Duplicate or incomplete DICOM datasets, corrupted image files, or datasets unsuitable for AI processing.