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

NCT07462156 | Recruiting

• 1 other identifier: 420-2025
• Study Type: interventional
• Target: 36
• Locations: 1 country
• Sites: 1

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.

Conditions

Dental Education

Outcome Measures

Primary Outcomes (2)

• Change in preparation scores

  Preparations were scored with a prespecified 10-item rubric derived from ADEX criteria for mandibular first molar metal-ceramic crown preparation (overall score 0-10). Each item was rated on a 3-level scale (0, 0.5, or 1) and summed to obtain a total score

  Up to 5 weeks

• RMS deviation from the ideal preparation

  all the resulting TT-STL files across all sessions (from 1-5) of the study of the three groups of prepared teeth were compared with the ideal preparation

  Up to 5 weeks

Study Arms (3)

Digital assessment 1

EXPERIMENTAL

Other: Non-metrology-grade digital group (NMG)

Digital assessment 2

EXPERIMENTAL

Other: metrology-grade digital group (MG)

Conventional assessment

ACTIVE COMPARATOR

Other: Traditional group (TG)

Interventions

Non-metrology-grade digital group (NMG) OTHER

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).

Digital assessment 1

metrology-grade digital group (MG) OTHER

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).

Digital assessment 2

Traditional group (TG) OTHER

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.

Conventional assessment

Eligibility Criteria

• Age: 18 Years - 20 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

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.

Sponsors & Collaborators

• Alexandria University: lead

Study Sites (1)

College of Dentistry El Alamein - AAST

El Alamein, Egypt

RECRUITING

Central Study Contacts

Mahinour Yousry, PhD

CONTACT

+2 01060080088; dr.mahinour.ahmed@aast.edu

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Lecturer of Dental Public Health and biostatistical consultanat

Study Record Dates

• First Submitted: January 28, 2026
• First Posted: March 10, 2026
• Study Start: February 1, 2026
• Primary Completion: March 25, 2026
• Study Completion: March 25, 2026
• Last Updated: March 10, 2026

Record last verified: 2026-03

Locations

EG (1)