Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis

Recruiting now · Not applicable

Conditions studied: Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design

In brief

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.

Key facts

Study ID

NCT07432165

Run by

October University for Modern Sciences and Arts

People needed

1000

Starts

2025-06-15

Expected to finish

2026-06-17

Last updated by the study team

2026-02-25

Who can join

Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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

You may not qualify if…

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

Where it is running

• MSA University — Giza, Egypt (enrolling)

Full record on ClinicalTrials.gov

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