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AI takes a bite out of dental implant planning

NCT ID NCT07597785

Knowledge-focused Sponsor: St. Petersburg State Pavlov Medical University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at whether artificial intelligence can help dentists plan where to place dental implants in people who have lost all their lower teeth. Researchers will use old CT scans to compare AI-generated implant plans with plans made by expert dentists. The goal is to see if the AI plans are safe and acceptable, which could lead to faster and more consistent implant planning in the future.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-assisted implant planning workflow
What this could lead to
If successful, this could show that AI can help dentists plan dental implants more efficiently and accurately, potentially improving patient outcomes.
What could go wrong
This is a small, retrospective study using old scans, not a real-world test. The AI may not work as well in actual clinical practice or for all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100 people

The number the study aims to enrol. It can still change while the study runs.

Started

Feb 2026

Expected to finish

Oct 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

The study population will consist of anonymized CBCT cases from edentulous patients, or patients with a clinically equivalent edentulous condition, who underwent CBCT imaging during routine clinical care for implant prosthodontic planning. No new patient recruitment, additional imaging, treatment allocation, or patient intervention will be performed.

Ages

65 to 85 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Anonymized CBCT dataset from a patient with complete edentulism or a clinically equivalent edentulous condition requiring implant prosthodontic planning. * CBCT imaging acquired during routine clinical care. * Sufficient field of view to assess the jaws and relevant anatomical landmarks for implant planning. * Image quality sufficient for anatomical assessment, segmentation, and implant planning. * Technical suitability of the CBCT dataset for expert reference planning and AI-assisted implant planning. Exclusion Criteria: * Severe motion artifacts or metal artifacts preventing reliable anatomical assessment. * Incomplete field of view preventing assessment of the intended implant planning region. * Corrupted, incomplete, duplicate, or unreadable DICOM data. * Technical limitations preventing expert reference planning or AI-assisted implant planning. * Missing data required for assessment of the primary outcome.

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Conditions

The condition(s) this trial relates to.

anodontia

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Dental implant Edentulism in lower jaw

Contacts and locations

Locations

  • Pavlov First Saint Petersburg State Medical University

    Saint Petersburg, Sankt-Peterburg, 197022, Russia

More trials for these conditions

Other studies related to the condition(s) this trial covers.