A Comparative Clinical Study to Evaluate Crowns Designed by Artificial Intelligence Versus Crowns Designed Traditional Design Software
NCT07099261 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10
Last updated 2025-08-01
Summary
This clinical research aims to Evaluate Crowns Designed by Artificial Intelligence Versus Crowns Designed by Traditional Design Software
The research will be conducted on a sample of patients with an indication for crowning of the first lower molar. Ten dental crowns will be prepared.
After obtaining written consent from patients who meet the inclusion and exclusion criteria, 10 dental crowns will be prepared. Measurements will be taken using silicone impressions and then converted into digital format.
The digital impression will be sent to the selected dental restoration design software used in the study. The same parameters will be adjusted in all software programs for each crown.
After the design is completed, the designs will be sent to the milling unit. For each case, three crowns will be designed and milled from polymethyl methacrylate (PMMA).
The crown will be clinically examined and evaluated according to specific criteria. Marginal fit, proximal contact quality, and occlusion will be assessed.
The best crown will be milled from zirconia and delivered to the patient.
Conditions
- Dental Crown
Interventions
- OTHER
-
Crowns
1. Tooth Preparation: Prepare the teeth to receive a zirconia crown. 2. Impression Taking: Obtain impressions using silicone. 3. Digital Conversion: Convert impressions into a digital model using a laboratory scanner. 4. Design Submission: Send the digital model to selected crown design program. 5. Crown Fabrication: crowns designed will be produced from PMMA using a milling unit. 6. Clinical Evaluation: Conduct a clinical assessment of the crowns 7. the best crown design will be milled from zirconia and delivered Evaluation of Crowns designed by following metrics: 1. Marginal fit 2. proximal contact 3. Occlusion
Sponsors & Collaborators
-
Tishreen University
lead OTHER
Principal Investigators
-
Zeyad Handhal, master's student · Tishreen University
-
Rima Saker, Assistant professor · Tishreen University
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- TREATMENT
- Masking
- SINGLE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Max Age
- 60 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-10-01
- Primary Completion
- 2026-08-01
- Completion
- 2026-09-01
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