AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
Trial Parameters
Brief 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.
Eligibility 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.