AI versus conventional digital design for dental crowns

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

Not applicable Interventional October University for Modern Sciences and Arts · NCT07432165

This project will test whether an AI system can design dental crowns as accurately as conventional CAD software for adults (18–65) who need fixed dental prostheses.

Quick facts

PhaseNot applicable
Study typeInterventional
Enrollment1000 (estimated)
Ages18 Years to 65 Years
SexAll
SponsorOctober University for Modern Sciences and Arts Academic / other
Locations1 site (Giza)
Trial IDNCT07432165 on ClinicalTrials.gov

What this trial studies

This in vitro, comparative study will use 438 high-quality digital intraoral scans to compare AI-generated prosthesis designs with manually created CAD restorations by experienced dental technicians. The AI workflow is trained (60%), validated (10%), and tested (30%) on historical human-designed FDP datasets and natural tooth morphology. Accuracy of the designs will be measured by 3D superimposition and quantified using Intersection over Union (IOU), with margin detection evaluated by F1 score, precision, and recall. Statistical comparisons will use paired t-tests with significance set at P ≤ 0.05.

Who should consider this trial

Good fit: Adults aged 18–65 with a damaged tooth requiring a fixed dental prosthesis and who can provide a high-quality intraoral digital scan are ideal candidates.

Not a fit: Patients with poor or incomplete scans, severe occlusal abnormalities, or those outside the 18–65 age range are unlikely to benefit from this study's results.

Why it matters

Potential benefit: If successful, the AI approach could speed up and standardize crown design, reducing technician workload and turnaround time for prostheses.

How similar studies have performed: Similar AI-assisted CAD/CAM approaches in dentistry have shown promising results in small in vitro and pilot studies, but broad clinical validation is still limited.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 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 Criteria:

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

Where this trial is running

Giza

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Accuracy of Artificial Intelligence in Fixed Dental Prosthesis DesignArtificial IntelligenceCAD/CAMFixed Dental ProsthesisDental Crown Design3D SuperimpositionDeep LearningGenerative Adversarial Network
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.