Status: Recruiting
AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
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.
Participants needed: 36
Trial details
Age: 18-20Biological sex: AllType: InterventionalSponsor: Alexandria UniversityUpdated: Mar 10, 2026Locations: 1
Eligibility criteria
Third-year preclinical dental student [+2]
previous repetition of the course [+2]