Comparative Study Between Artificial Intelligence-Assisted/Computer-Guided Versus Conventional Ridge Splitting Utilizing Electromagnetic Mallet for Reconstruction of Horizontal Ridge Defects: A Randomized Controlled Clinical Study
The current trial aims to assess the efficacy of utilizing the electromagnetic mallet either by AI-assisted digital workflow or by the conventional freehand approach for reconstruction of horizontal ridge defects utilizing the ridge-split and expansion technique.
• The target population with inadequate bone volume for implant placement due to width insufficiency of maxillary anterior alveolar ridges.
• Age ranges from 18 to 40 years of both sexes.
• Absence of any complicating systemic condition that may contraindicate surgical procedures and implant placement.
• Adequate oral hygiene.
• Eligible participants should present good general health and agree to random assignment to any of the two parallel study groups.
• Participants had a minimum 3-month post-extraction healing period and a horizontal defect in the maxillary esthetic zone with at least a bone width of 3 mm.