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OpenTrials
Completed

NCT Number: NCT06693635

Comparative Evaluation of Implant Planning Software

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.

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Key information

Conditions

Edentulous Jaw Edentulous Alveolar Ridge Edentulous Mouth Jaw Diseases Jaw, Edentulous Mouth Diseases Mouth, Edentulous Musculoskeletal Diseases Partial-edentulism Stomatognathic Diseases Tooth Diseases

Age range

18 year–70 year

Sex eligibility

All sexes

Study type

Observational

Primary location

University of Bari Aldo Moro

Bari, 70124, Italy

Who can participate

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • CBCT of Patient who needs Implant rehabilitations

Exclusion criteria

  • Patient not suitable for implant rehabilitation

Treatment and study plan

Implant planning

Diagnostic Test

The implant planning will be carried out using various software programs. The AI assistance provided by each software will be evaluated.

Primary outcomes

  1. Segmentation of Bones

    Time frame: 1 day

    The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.

  2. Recognition of Neural structure

    Time frame: 1 day

    The segmentation and recognition of nerve structures performed by the software will be evaluated.

  3. Segmentation of teeth

    Time frame: 1 day

    The segmentation of teeth performed by the software will be evaluated.

  4. 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.

  5. Time Workflow

    Time frame: 1 day

    The execution time of each planning will be evaluated.

Sponsors and collaborators

Lead sponsor

University of Bari Aldo Moro

Other

Registry information

Official study title

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

Important dates

Study start
2024
Primary completion
2024
Study completion
2024
First posted
Nov 18, 2024
Registry last updated
Jan 1, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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