Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-65
SponsorOctober University for Modern Sciences and Arts
About this trial
This in vitro study aims to evaluate the accuracy of an Artificial Intelligence (AI)-based automatic design system for fixed dental prosthesis (FDP) compared with conventional computer-aided design (CAD) software. Digital scans of teeth requiring fixed dental prosthesis will be collected and used to generate prosthetic designs using two approaches: human-designed CAD restorations and AI-generated restorations.
The primary outcome is design accuracy assessed using 3D superimposition and Intersection over Union (IOU) percentage. Secondary outcomes include margin detection performance measured using F1 score, precision, and recall. A total sample size of 438 scans will be analyzed.
The study will determine whether AI-generated prosthesis designs demonstrate comparable accuracy to conventional digital designs.
Eligibility criteria
Qualifiers
Adults aged 18-65 years Patients with a damaged tooth requiring a fixed dental prosthesis Available digital intraoral scans Adequate occlusal anatomy for analysis of opposing teeth
Disqualifiers
Incomplete or poor-quality digital scans Severe occlusal abnormalities affecting analysis Patients outside the specified age range
Trial design
Treatments tested in this trial
- Conventional CAD-Based Fixed Dental Prosthesis Design
- Artificial Intelligence-Based Fixed Dental Prosthesis Design
Treatment groups
1,000 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov