Clinical Trial

AI-Assisted Implant Planning Using CBCT Data

Study acronym: AIP-CBCT
Active, Not Recruiting
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Record status
This record was last updated May 19, 2026 (before its estimated July 30, 2026 completion). Its status may not reflect the trial's current state.
Summary
This retrospective observational reader study will evaluate artificial intelligence (AI)-assisted implant planning using anonymized cone-beam computed tomography (CBCT) datasets from patients with complete edentulism or a clinically equivalent edentulous condition. AI-generated implant plans will be compared with expert reference plans created by clinicians using the same CBCT data. The study will assess the clinical acceptability of AI-generated implant plans, geometric agreement with expert plans, anatomical safety, workflow time, and agreement between expert reviewers where applicable. The study uses previously acquired anonymized imaging data and does not involve patient recruitment, treatment allocation, additional imaging, clinical intervention, or prospective follow-up.
Trial Details
NCT Number NCT07597785
Lead Sponsor St. Petersburg State Pavlov Medical University
Conditions Edentulism in Lower Jaw, Dental Implant
Enrollment 100 participants
Start Date 2026-02-16
Primary Completion 2026-07-30 (estimated)
Study Completion 2026-10-30 (estimated)
Updated on ClinicalTrials.gov 2026-05-19