Trials / Active Not Recruiting
Active Not RecruitingNCT06164002
A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials
Application of Artificial Intelligence in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With Two Ceramic Materials
- Status
- Active Not Recruiting
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 40 (estimated)
- Sponsor
- Faculty of Dental Medicine for Girls · Other Government
- Sex
- All
- Age
- 20 Years – 50 Years
- Healthy volunteers
- Not accepted
Summary
The present study will be performed to evaluate application of artificial intelligence in the prediction of clinical performance, marginal fit and fracture resistance of vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic)
Detailed description
The objective of the present study is to characterize two different margin designs (vertical "feather-edge" and horizontal "shoulder") with two different ceramic materials (zirconia and hybrid ceramic) in terms of clinical performance, marginal fit and fracture resistance. Primary outcome: Predicting the follow up results using the new (artificial intelligence "AI") model for vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic) that saves the clinical evaluation period, hence saves the expenses of the dental clinic. Secondary outcome: Evaluating the clinical performance, marginal fit and fracture resistance of vertical "feather-edge" versus horizontal "shoulder" margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic).
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | change in restoration material and margin design. | comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results |
Timeline
- Start date
- 2023-09-01
- Primary completion
- 2024-09-15
- Completion
- 2025-05-15
- First posted
- 2023-12-11
- Last updated
- 2025-02-06
Locations
1 site across 1 country: Egypt
Source: ClinicalTrials.gov record NCT06164002. Inclusion in this directory is not an endorsement.