Comparative Evaluation of Implant Planning Software

December 30, 2024 updated by: Giuseppe D'Albis, University of Bari Aldo Moro

Evaluating the Impact of Artificial Intelligence in Implant Planning Software: A Case Study Approach

Artificial intelligence (AI) is increasingly being integrated into dental implant planning, revolutionizing the way clinicians approach treatment. AI-driven software can enhance the accuracy of implant placement by analyzing complex data sets, including bone density, anatomical structures, and patient-specific factors. This technology enables the creation of precise 3D models and surgical guides, facilitating more predictable and personalized treatment outcomes. Additionally, AI algorithms can automate tasks such as segmentation, matching digital impressions with CBCT scans, and even suggesting optimal implant positions. The integration of AI in implant planning not only improves clinical efficiency but also contributes to better patient outcomes by reducing surgical risks and enhancing the overall success of implant procedures.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

1

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, Italy, 70124
        • University of Bari Aldo Moro

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

All patients requiring implant rehabilitation with digital planning

Description

Inclusion Criteria:

  • CBCT of Patient who needs Implant rehabilitations

Exclusion Criteria:

  • Patient not suitable for implant 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
Segmentation of Bones
Time Frame: 1 day
The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
1 day
Recognition of Neural structure
Time Frame: 1 day
The segmentation and recognition of nerve structures performed by the software will be evaluated.
1 day
Segmentation of teeth
Time Frame: 1 day
The segmentation of teeth performed by the software will be evaluated.
1 day
Bone density
Time Frame: 1 day
The bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
1 day
Time Workflow
Time Frame: 1 day
The execution time of each planning will be evaluated.
1 day

Collaborators and Investigators

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

Sponsor

University of Bari Aldo Moro

Investigators

  • Principal Investigator: Giuseppe D'Albis, Dr, University of Bari Aldo Moro
  • Study Director: Massimo Corsalini, Prof, University of Bari Aldo Moro
  • Study Director: Saverio Capodiferro, Prof, University of Bari Aldo Moro

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)

November 1, 2024

Primary Completion (Actual)

November 1, 2024

Study Completion (Actual)

November 1, 2024

Study Registration Dates

First Submitted

November 14, 2024

First Submitted That Met QC Criteria

November 14, 2024

First Posted (Actual)

November 18, 2024

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

December 30, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • AISoftware

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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