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AI-Assisted Implant Planning Using CBCT Data

NCT07597785 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-05-19

No results posted yet for this study

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.

Conditions

  • Edentulism in Lower Jaw
  • Dental Implant

Interventions

OTHER

AI-Assisted Implant Planning Workflow

AI-assisted implant planning workflow applied to anonymized CBCT datasets. The workflow generates implant planning outputs for expert review and comparison with expert reference plans. It is evaluated as a clinical decision-support workflow and does not involve patient treatment, additional imaging, or autonomous clinical decision-making.

Sponsors & Collaborators

  • St. Petersburg State Pavlov Medical University

    lead OTHER

Principal Investigators

  • Roman A Rozov, MD, DSc · St. Petersburg State Pavlov Medical University

  • Karina Sh Oisieva, DDS, MSc · Saint Petersburg State University, Russia

Eligibility

Min Age
65 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-16
Primary Completion
2026-07-30
Completion
2026-10-30

Countries

  • Russia

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07597785 on ClinicalTrials.gov