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Comparative Evaluation of Implant Planning Software

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

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06693635
Enrollment
1
Registered
2024-11-18
Start date
2024-11-01
Completion date
2024-11-01
Last updated
2025-01-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Edentulous Alveolar Ridge, Edentulous Jaw, Edentulous Mouth, Partial-edentulism

Keywords

Artificial Intelligence in Implantology, AI, Implant planning, AI software

Brief summary

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.

Interventions

DIAGNOSTIC_TESTImplant planning

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

Sponsors

University of Bari Aldo Moro
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years

Inclusion criteria

* CBCT of Patient who needs Implant rehabilitations

Exclusion criteria

* Patient not suitable for implant rehabilitation

Design outcomes

Primary

MeasureTime frameDescription
Bone density1 dayThe bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
Time Workflow1 dayThe execution time of each planning will be evaluated.
Segmentation of Bones1 dayThe segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
Recognition of Neural structure1 dayThe segmentation and recognition of nerve structures performed by the software will be evaluated.
Segmentation of teeth1 dayThe segmentation of teeth performed by the software will be evaluated.

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026