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

Recruiting now · Not applicable

Conditions studied: Dental Education

In brief

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.

Key facts

Study ID

NCT07462156

Run by

Alexandria University

People needed

36

Starts

2026-02-01

Expected to finish

2026-03-25

Last updated by the study team

2026-03-10

Who can join

Age: 18 and older, up to 20. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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.

You may not qualify if…

• previous repetition of the course
• Substantial prior experience with digital metrology/3D inspection software
• Inability to attend all scheduled training and examination sessions.

Where it is running

• College of Dentistry El Alamein - AAST — El Alamein, Egypt (enrolling)

Full record on ClinicalTrials.gov

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