Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis

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.

NCT Number	NCT07432165
Lead Sponsor	October University for Modern Sciences and Arts
Conditions	Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design
Enrollment	1,000 participants
Start Date	2025-06-15
Primary Completion	2026-04-02 (estimated)
Study Completion	2026-06-17 (estimated)
Updated on ClinicalTrials.gov	2026-02-25