AI tools to help dental students check and improve tooth preparations for metal-ceramic crowns
IntelliPrep: An AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation-A Randomized Controlled Trial
This project tests whether two AI-powered digital self-check tools help third-year dental students make more accurate tooth preparations and learn faster than traditional faculty feedback.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 36 (estimated) |
| Ages | 18 Years to 20 Years |
| Sex | All |
| Sponsor | Alexandria University Academic / other |
| Locations | 1 site (El Alamein) |
| Trial ID | NCT07462156 on ClinicalTrials.gov |
What this trial studies
Third-year preclinical dental students who completed the fixed prosthodontics course will be assigned to one of three groups: traditional faculty feedback, a non-metrology-grade AI digital self-assessment tool, or a metrology-grade digital assessment tool. Over a defined training period they will produce tooth preparations for metal-ceramic crowns and use the assigned feedback method between practice sessions. Objective measures of preparation accuracy will be recorded by the digital systems and/or faculty scoring, and student learning outcomes will be tracked over time. Results from the three groups will be compared to see if the AI-assisted tools change preparation quality or learning trajectories.
Who should consider this trial
Good fit: Ideal participants are third-year preclinical dental students who have completed the fixed prosthodontics tooth-preparation course and have no prior formal experience with digital 3D tooth-preparation assessment software.
Not a fit: Students who previously repeated the course, have substantial prior experience with digital metrology/3D inspection software, or cannot attend all scheduled training and examination sessions are unlikely to benefit.
Why it matters
Potential benefit: If successful, the tools could help students reach consistent, higher-quality tooth preparations sooner, which may translate into more reliable clinical care for future patients.
How similar studies have performed: Prior studies of digital or AI-assisted feedback in dental education have shown promising improvements in objective feedback and student performance, though results vary by tool and context.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Third-year preclinical dental student * Completion of the fixed prosthodontics tooth-preparation course. * No prior formal training or use of digital 3D tooth-preparation assessment software. Exclusion Criteria: * previous repetition of the course * Substantial prior experience with digital metrology/3D inspection software * Inability to attend all scheduled training and examination sessions.
Where this trial is running
El Alamein
- College of Dentistry El Alamein - AAST — El Alamein, Egypt (Recruiting)
Study contacts
- Study coordinator: Mahinour Yousry, PhD
- Email: dr.mahinour.ahmed@aast.edu
- Phone: +2 01060080088
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.