RecruitingNot ApplicableNCT07432165

Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis

Accuracy Assessment of Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis: (An Invitro Study)

Sponsor

October University for Modern Sciences and Arts

Enrollment

1,000 participants

Start Date

Jun 15, 2025

Study Type

INTERVENTIONAL

Conditions

Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design

Summary

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

Min Age: 18 YearsMax Age: 65 Years

Inclusion Criteria1

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

Exclusion Criteria1

Incomplete or poor-quality digital scans Severe occlusal abnormalities affecting analysis Patients outside the specified age range

Interventions

OTHERConventional CAD-Based Fixed Dental Prosthesis Design

Fixed dental prostheses will be digitally designed using conventional computer-aided design (CAD) software by experienced dental professionals. Designs will be based on occlusal anatomy and patient-specific intraoral scan data. These manually generated digital designs will serve as the comparator for evaluating accuracy against AI-generated designs using 3D superimposition and quantitative accuracy analysis.

OTHERArtificial Intelligence-Based Fixed Dental Prosthesis Design

An artificial intelligence-based automated design system will generate fixed dental prosthesis designs using deep learning algorithms. The AI model will be trained (60%), validated (10%), and tested (30%) on occlusal scan datasets and historical human-designed prostheses. Generated designs will be evaluated for accuracy and marginal precision using 3D superimposition and Intersection over Union (IoU) analysis.

Locations(1)

MSA University

Giza, Egypt

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NCT07432165