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.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
NONE
Enrollment
47
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.
Hacettepe University Faculty of Dentistry, Department of Prosthodontics
Ankara, Ankara, Turkey (Türkiye)
Clinical Evaluation of Buccal and Lingual/Palatal Crown Contours
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
Clinical Evaluation of Proximal Contacts
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
Clinical Evaluation of Occlusal Contacts
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
Clinical Evaluation of Marginal Adaptation
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.
Time frame: Day 1
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