AI-Driven Digital Self-Assessment Framework for Preclinical Tooth Preparation
ConditionDental Education
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-20
SponsorAlexandria University
About this 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.
Eligibility criteria
Qualifiers
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.
Disqualifiers
previous repetition of the course
Substantial prior experience with digital metrology/3D inspection software
Inability to attend all scheduled training and examination sessions.
Trial design
Treatments tested in this trial
- Non-metrology-grade digital group (NMG)
- metrology-grade digital group (MG)
- Traditional group (TG)
Treatment groups
36 Participants
are divided into 3 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov