A I in the Prediction of Clinical Performance, Marginal Fit and Fracture Resistance of Vertical Versus Horizontal Margin Designs Fabricated With 2 Ceramic Materials

Study Overview
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Brief Summary
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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
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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).

Official Title
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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

Conditions
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Artificial Intelligence

Intervention / Treatment
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* Other: change in restoration material and margin design.


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: 1. Age range of patients should be 20-50 years old, able to read and sign the informed consent document. 2. Patient with posterior molars indicated for full coverage restorations. 3. Patient should be able to physically and psychologically tolerate conventional restorative procedures. 4. Patients who are willing to return for follow-up examination and evaluation. 5. Indicated molar should have adequate tooth preparation length to ensure proper retention and resistance form. 6. Patient with sound contralateral or adjacent tooth to the selected tooth requiring full coverage restoration. Exclusion Criteria: Patient in the growth stage with partially erupted teeth. Patient with poor oral hygiene and motivation. Pregnant women. Patient with psychiatric problems or unrealistic expectations. Patients with no opposing occluding dentition in the area intended for restoration. Patients with parafunctional habits. -

Ages Eligible for Study
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Minimum Age: 20 Years
Maximum Age: 50 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Health Services Research
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Group (I)<br>Patients will be prepared with vertical feather edge margin design. | Other: change in restoration material and margin design.<br>* comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results<br>* Other names: Predicting the follow up results using the new (artificial intelligence AI) model;|
| Experimental: Group (II)<br>Patients will be prepared with horizontal shoulder margin design. | Other: change in restoration material and margin design.<br>* comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results<br>* Other names: Predicting the follow up results using the new (artificial intelligence AI) model;|
| Experimental: Subgroup (A)<br>Patients will receive zirconia ceramic crowns | Other: change in restoration material and margin design.<br>* comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results<br>* Other names: Predicting the follow up results using the new (artificial intelligence AI) model;|
| Experimental: Subgroup (B)<br>Patients will receive hybrid ceramic crowns. | Other: change in restoration material and margin design.<br>* comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results<br>* Other names: Predicting the follow up results using the new (artificial intelligence AI) model;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Artificial intelligence application assessment, laboratory marginal fit and fracture resistance | 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. | 6 months | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| In-Vitro Study preparations. | Marginal Adaptation feather-edge versus horizontal shoulder margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic). | 6 months | 
| In-Vitro Study | Fracture Resistance | 6 months | 
| In-Vivo Study | Clinical Examination | Baseline,3 months,6 months |