Retrospective Reader Study of AI-Assisted Implant Planning Using Cone-Beam Computed Tomography Data in Edentulous Patients

Inclusion Criteria

Inclusion Criteria: * Anonymized CBCT dataset from a patient with complete edentulism or a clinically equivalent edentulous condition requiring implant prosthodontic planning. * CBCT imaging acquired during routine clinical care. * Sufficient field of view to assess the jaws and relevant anatomical landmarks for implant planning. * Image quality sufficient for anatomical assessment, segmentation, and implant planning. * Technical suitability of the CBCT dataset for expert reference planning and AI-assisted implant planning. Exclusion Criteria: * Severe motion artifacts or metal artifacts preventing reliable anatomical assessment. * Incomplete field of view preventing assessment of the intended implant planning region. * Corrupted, incomplete, duplicate, or unreadable DICOM data. * Technical limitations preventing expert reference planning or AI-assisted implant planning. * Missing data required for assessment of the primary outcome.