Comparative Evaluation of Artificial Intelligence-Assisted Versus Conventional Guided Implant Planning in Free End Saddle Cases

This study aims to compare the accuracy and clinical performance of artificial intelligence (AI)-assisted implant planning with conventional human-based implant planning in patients presenting with free-end saddle edentulous areas requiring dental implant rehabilitation. Preoperative cone-beam computed tomography (CBCT) images and intraoral scans will be used to assess the available bone, anatomical landmarks, and prosthetically driven implant positions. Implant planning and surgical guide fabrication will be performed using standardized digital workflows under the supervision of an experienced implant planning specialist. Postoperative CBCT imaging will be used to evaluate deviations between the planned and actual implant positions. The study will assess the accuracy of both planning approaches to determine whether AI-assisted planning provides comparable or improved implant placement accuracy relative to conventional planning.

Inclusion Criteria: * 1\) Adult patients aged 18 years or older. 2) Patients with unilateral or bilateral posterior edentulous spaces (free-end saddle cases) requiring implant therapy. 3\) Patients with adequate bone volume for implant placement as determined by CBCT examination. 4\) Medically fit patients eligible for implant surgery. 5) Patient compliance and positive attitude towards oral hygiene. Exclusion Criteria: \- 1) Patients younger than 18 years. 2) Patients with systemic conditions that may compromise osseointegration or bone healing (e.g., uncontrolled diabetes mellitus, recent radiotherapy to the jaws, severe osteoporosis, history of bisphosphonate therapy). 3\) Pregnant women. 4) noncompliance Patients or patients with poor oral hygiene.