Hacettepe University Faculty of Dentistry, Department of Prosthodontics
Ankara, 06100, Turkey (Türkiye)
NCT Number: NCT07834957
This clinical study compares tooth-supported single crowns designed by a dental technician and by an artificial intelligence (AI) driven automated design method. The two design methods are qualitatively compared in terms of buccal and lingual/palatal contours, proximal and occlusal contacts, and marginal fit using clinical evaluation. The two design methods are quantitatively compared in terms of global, buccal, and lingual/palatal surface deviations using three-dimensional surface deviation analysis.
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Notify Me20 year–39 year
All sexes
Interventional
Not applicable
Ankara, 06100, Turkey (Türkiye)
This methodological clinical study evaluates tooth-supported single crowns produced using two different digital design methods within a fully digital workflow. For each participant, two crown restorations are designed for the same prepared posterior tooth: one by an experienced dental technician using conventional computer-aided design (CAD) software and the other using an artificial intelligence (AI)-driven automated design system. Both restorations are produced using the same manufacturing workflow and are clinically evaluated under standardized conditions.
The two restorations are evaluated for buccal and lingual/palatal crown contours, mesial and distal proximal contacts, occlusal contacts, and marginal adaptation using predefined clinical criteria. In addition, three-dimensional (3D) surface deviation analysis is performed to quantitatively compare the two design methods at the global, buccal, and lingual/palatal surface levels.
The study uses a within-participant comparison design, with both design methods evaluated on the same prepared tooth, thereby minimizing variability related to patient- and tooth-specific factors.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Single-crown restorations were designed by an experienced dental technician using 3Shape Dental System based on intraoral scan data. The restorations were designed using predefined contact parameters and a standardized CAD morphology library.
Single-crown restorations were automatically designed for the same prepared teeth using the AI-driven 3Shape Automate platform based on intraoral scan data. The restorations were designed using contact parameters and a CAD morphology library standardized to those used in the dental technician design method.
Time frame: Day 1
Dental technician-designed and AI-driven restorations are clinically evaluated for buccal and lingual/palatal crown contours using modified California Dental Association (CDA) criteria. Buccal and lingual/palatal surfaces are scored separately, and the scoring system distinguishes overcontour from undercontour.
Time frame: Day 1
Dental technician-designed and AI-driven restorations are clinically evaluated for mesial and distal proximal contacts using modified California Dental Association (CDA) criteria. Mesial and distal contacts are scored separately for each restoration.
Time frame: Day 1
Dental technician-designed and AI-driven restorations are clinically evaluated for occlusal contacts using modified California Dental Association (CDA) criteria. Occlusal contacts are scored for each restoration using the predefined ordinal scoring system.
Time frame: Day 1
Dental technician-designed and AI-driven restorations are clinically evaluated for marginal adaptation using modified California Dental Association (CDA) criteria. Marginal adaptation is scored for each restoration using the predefined ordinal scoring system.
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Notify MeHacettepe University
Other
Evaluation of Tooth-Supported Single-Crown Restorations Produced With Artificial Intelligence-Driven Design in a Fully Digital Workflow: A Clinical Study
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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