Comparative Evaluation of Implant Planning Software

NCT ID: NCT06693635

Last Updated: 2025-01-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-11-01

Study Completion Date

2024-11-01

Brief Summary

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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.

Detailed Description

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Conditions

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Edentulous Jaw Edentulous Alveolar Ridge Edentulous Mouth Partial-edentulism

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Interventions

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Implant planning

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* CBCT of Patient who needs Implant rehabilitations

Exclusion Criteria

* Patient not suitable for implant rehabilitation
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Bari Aldo Moro

OTHER

Sponsor Role lead

Responsible Party

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Giuseppe D'Albis

DDS, MSc

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Giuseppe D'Albis, Dr

Role: PRINCIPAL_INVESTIGATOR

University of Bari Aldo Moro

Massimo Corsalini, Prof

Role: STUDY_DIRECTOR

University of Bari Aldo Moro

Saverio Capodiferro, Prof

Role: STUDY_DIRECTOR

University of Bari Aldo Moro

Locations

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University of Bari Aldo Moro

Bari, , Italy

Site Status

Countries

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Italy

Other Identifiers

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AISoftware

Identifier Type: -

Identifier Source: org_study_id

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