RecruitingNot Applicable

AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation

Egypt36 participantsStarted 2026-02-01

Plain-language summary

This study aims to compare traditional faculty-based assessment with two AI-assisted digital self-assessment software programs for evaluating tooth preparations for metal-ceramic crowns for undergraduate dental preclinical students at College of Dentistry El Alamein, AAST in terms of: (1) Accuracy of preparation outcomes, (2) Student learning outcomes over a training period.

Who can participate

Age range18 Years – 20 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

What they're measuring

Change in preparation scores

Timeframe: Up to 5 weeks

RMS deviation from the ideal preparation

Timeframe: Up to 5 weeks

Trial details

NCT IDNCT07462156

SponsorAlexandria University

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2026-03-25

Contact for this trial

Mahinour Yousry, PhD

+2 01060080088 dr.mahinour.ahmed@aast.edu

View on ClinicalTrials.gov More Dental Education trials