An interventional study of Crowns in Dental Crown, sponsored by Latakia University. Not yet recruiting. Open to participants aged 18 Years to 60 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-08-01.
Sponsored by Latakia University · Not applicable, Interventional, and Treatment
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.
Recent advancements in artificial intelligence (AI) have revolutionized various fields, including dentistry, where AI systems are being promoted to reduce design time for dental restorations. However, it remains unclear whether this increased speed compromises critical factors such as marginal fit accuracy, occlusion, and contact points-elements crucial for the success of dental prosthetics. The existing scientific evidence regarding the efficiency of AI-supported dental design systems is limited. A review of the literature revealed only one clinical study addressing this aspect, highlighting the urgent need for further comparative research.
This clinical research aims to Evaluate Crowns Designed by two Artificial Intelligence computer-aided AIـCAD Versus Crowns Designed by Traditional Design Software One Traditional CAD by assessing the following metrics:
Importance of the Research
Given the scarcity of studies focusing on AI-based crown design systems clinically, this research will assist dental clinics and laboratories in making informed decisions regarding the adoption of AI technologies versus continuing with traditional methodologies.
Study Design
self controlled clinical trial
Clinical Procedures
Marginal Fit Accuracy
Measurement clinically using a probe. Comparison with silicone replica technique or Analysis through 3D modeling software (X control GEOM).
Contact Points Quality
Measure the force required to pull a dental floss between teeth.
Occlusion Assessment
Utilize 100-micron and 12-micron articulating paper and Shimstock to evaluate occlusal contact points.
Data will be analyzed using appropriate statistical methods to compare the outcomes between AI-driven designs and traditional methods, ensuring robust conclusions regarding their efficacy.
The results of this study are anticipated to provide valuable insights into the reliability and quality of AI-based crown design systems compared to traditional methods, guiding dental practices in their decision-making processes regarding technology adoption.
This proposal serves as a foundation for conducting a thorough investigation into the effectiveness of AI in dental crown design, addressing a critical gap in current research and practice
Exclusion Criteria:
10 Crowns designed with AI powered dentbird
Other: Crowns
10 Crowns designed with AI powered Exocad
Other: Crowns
10 Crowns designed with conventional Exocad (computer aided experienced)
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
Also known as: dental crowns
Marginal Fit
Evaluation is conducted by 2 dentists to determine whether the restoration is clinically acceptable or unacceptable using an explorer or The silicone replica technique (Silicone Replica Technique) is used to evaluate the marginal fit of crowns using silicone material or Evaluation is conducted using Geomagic X
Time frame: immediately after delivering the crown
Clinical evaluation of proximal contact points
To evaluate the interproximal contact points of the crown clinically using waxed dental floss: if the floss passes with slight resistance, the contact points are considered acceptable if the floss passes without resistance, the contact points are considered unacceptable if the floss hard to pass or tearing, the contact points are considered Tight Contact
Time frame: immediately after delivering the crown
clinical evaluation of the occlusion
Clinical Evaluation of Occlusion Using Articulating Paper Excellent (both 100- and 12-mm articulating paper imprints exist on the crown and adjacent teeth) nice occlusal contact distribution Good (only 100-mm articulating paper imprints exist on adjacent teeth) Individual occlusal contact points missing or deviated but occlusal contacts on main supporting cusp Satisfactory crown too high, thus supra occlusion No occlusal contacts on supporting cusps but contacts present on other parts of occlusal surface Unsatisfactory No occlusal contact points on crown(infra occlusion)
Time frame: immediately after delivering the crown
No study locations are listed for this record.
Plan to share: Undecided — Undecided yet
This study is not yet recruiting, as verified in Jul 2025. You cannot join it, but the record below documents what was studied.
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Latakia University