Skip to content

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
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06164002
Enrollment
40
Registered
2023-12-11
Start date
2023-09-01
Completion date
2025-05-15
Last updated
2025-02-06

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

Conditions

Artificial Intelligence

Brief 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).

Interventions

OTHERchange in restoration material and margin design.

comparing two different materials and two different designs. use artificial intelligence in the prediction of follow up results

Sponsors

Faculty of Dental Medicine for Girls
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
20 Years to 50 Years
Healthy volunteers
No

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

1. Patient in the growth stage with partially erupted teeth. 2. Patient with poor oral hygiene and motivation. 3. Pregnant women. 4. Patient with psychiatric problems or unrealistic expectations. 5. Patients with no opposing occluding dentition in the area intended for restoration. 6. Patients with parafunctional habits. -

Design outcomes

Primary

MeasureTime frameDescription
Artificial intelligence application assessment, laboratory marginal fit and fracture resistance6 monthsPredicting 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

MeasureTime frameDescription
In-Vitro Study preparations.6 monthsMarginal Adaptation feather-edge versus horizontal shoulder margin designs fabricated with two ceramic materials (zirconia and hybrid ceramic).
In-Vitro Study6 monthsFracture Resistance
In-Vivo StudyBaseline,3 months,6 monthsClinical Examination

Countries

Egypt

Outcome results

None listed

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