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

IntelliPrep: An AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation-A Randomized Controlled Trial

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.

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.