Artificial Intelligence in Dental Implant Planning (AIDENT)

November 14, 2024 updated by: Giuseppe D'Albis, University of Bari Aldo Moro

The Role and Applications of Artificial Intelligence in Dental Implant Planning

Artificial intelligence (AI) is revolutionizing the dentistry, offering new opportunities to improve the precision and efficiency of implantology. This study aims to evaluate the current evidence on the use of AI in implant planning assessment

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

The analysis was conducted through electronic search engines, using a combination of relevant keywords, including "artificial intelligence implantology," "AI implant planning," "AI dental implant," and "implantology artificial intelligence." Selected articles will carefully re-viewed to identify studies reporting data on the effectiveness of AI in implant planning.

Study Type

Observational

Enrollment (Actual)

15

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Italy
    • Bari
      • Mola di Bari, Bari, Italy, 70042
        • Giuseppe D'Albis

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients with edentulous ridges who need fixed prosthetic rehabilitation

Description

Inclusion Criteria:

  • Patients who underwent 3D or 2D radiological examinations for implant-prosthetic rehabilitation

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Valuation on the diagnosis of anatomical structures
Time Frame: 1 month
The primary focus is on evaluating the AI tools to evalue the quality and dimensions of the bone and ensuring the safe placement of implants by identifying and preserving critical structures such as nerves and the max-illary sinus.
1 month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of Bari Aldo Moro

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2024

Primary Completion (Actual)

June 1, 2024

Study Completion (Actual)

July 25, 2024

Study Registration Dates

First Submitted

July 24, 2024

First Submitted That Met QC Criteria

July 24, 2024

First Posted (Actual)

July 30, 2024

Study Record Updates

Last Update Posted (Estimated)

November 18, 2024

Last Update Submitted That Met QC Criteria

November 14, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • AI in Dentistry

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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