Actively Recruiting
AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
Led by Alexandria University · Updated on 2026-03-10
36
Participants Needed
1
Research Sites
7 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 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 will not qualify if you...
- Previous repetition of the fixed prosthodontics tooth-preparation course
- Substantial prior experience with digital metrology or 3D inspection software
- Inability to attend all scheduled training and examination sessions
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
College of Dentistry El Alamein - AAST
El Alamein, Egypt
Actively Recruiting
Research Team
M
Mahinour Yousry, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
3
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