Comparing Artificial Intelligence and Conventional Digital Design Accuracy for Fixed Dental Prostheses in Adults

What this Trial Is About

Researchers are evaluating the accuracy of an Artificial Intelligence AI-based automatic design system for fixed dental prostheses FDP compared to conventional computer-aided design CAD software. This in vitro study focuses on digital scans of adults with damaged teeth needing FDP, aiming to determine if AI-generated designs match the accuracy of human-designed restorations. The study will assess design precision and margin detection performance using advanced 3D analysis methods. The study includes two groups one where experienced dental professionals manually design prostheses using conventional CAD software based on patient-specific scans and occlusal anatomy, and another where an AI system automatically generates prosthesis designs. The AI workflow involves training, validation, and testing phases using real scan datasets and historical designs. Both types of designs will be compared for accuracy using 3D superimposition and Intersection over Union IoU percentage analysis. Participants digital intraoral scans will be collected and analyzed immediately after prosthesis design generation. Researchers will measure the design accuracy and margin detection using metrics such as F1 score, precision, and recall. Statistical analysis will evaluate differences between AI and human designs. The study period starts in June 2025 and will continue until June 2026, involving a total sample size of 438 scans for comprehensive assessment.

Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis