Abstract
Impacted maxillary canines are common in patients with cleft lip and palate (CLP) due to altered anatomy and scar tissue formation, making surgical exposure challenging. This case report describes the use of artificial intelligence (AI)-assisted CBCT segmentation combined with three-dimensional (3D) printing for surgical planning and orthodontic traction of a palatal impacted canine in a unilateral CLP patient. AI-based segmentation enabled precise localization of the impacted tooth and adjacent structures, and a patient-specific 3D printed model was fabricated to guide surgical access and traction direction. A minimally invasive mucoperiosteal flap was performed, followed by immediate light orthodontic traction. The digital workflow facilitated accurate exposure and controlled biomechanical movement without complications. The integration of AI and 3D printing may enhance precision and efficiency in managing complex impacted canine cases associated with CLP.