AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Non-metrology-grade digital group (NMG), metrology-grade digital group (MG), Traditional group (TG).
- Who it may be relevant to
- Registry conditions: Dental Education. Basic parameters: 18 years — 20 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Egypt
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
IntelliPrep: An AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation-A Randomized Controlled Trial
Overview
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.
Interventions
- Other Non-metrology-grade digital group (NMG)
Students in NMG used a license-free 3D comparison workflow (Medit Link/Compare, Compare tool; Medit Compare v3.4.9; Medit) to superimpose the prepared-tooth scan (TT-STL) onto the unprepared reference scan (RTS-STL). - Other metrology-grade digital group (MG)
Students in MG used metrology-grade 3D inspection software (Geomagic Control X v2018.1.1; 3D Systems)to superimpose TT-STL onto RTS-STL. Initial Alignment was performed followed by Best Fit Alignment (iterative closest point registration). - Other Traditional group (TG)
Students in TG assessed reduction with a silicone putty index and a periodontal probe across the previously predefined regions. Feedback was provided by experienced instructors (≥5 years of clinical teaching experience) using the same regional assessment approach.
Primary outcome measures
- Change in preparation scores [Time frame: Up to 5 weeks]
- RMS deviation from the ideal preparation [Time frame: Up to 5 weeks]
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Other
Study locations
Egypt · 1 center
- College of Dentistry El Alamein - AAST — El Alamein
Identifiers
NCT: NCT07462156 · 420-2025