El Alamein

Researchers are evaluating an AI-driven digital self-assessment framework compared to traditional faculty-based assessment methods for evaluating tooth preparations for metal-ceramic crowns. The study focuses on undergraduate third-year preclinical dental students who have completed a fixed prosthodontics tooth-preparation course. The study aims to compare the accuracy of preparation outcomes and student learning improvements over a training period. Participants are divided into three groups: the traditional group (TG), which uses a silicone putty index and periodontal probe for assessment with instructor feedback; the non-metrology-grade digital group (NMG), which uses a license-free 3D comparison software (Medit Link/Compare) to superimpose prepared tooth scans on reference scans; and the metrology-grade digital group (MG), which uses advanced 3D inspection software (Geomagic Control X) for superimposition and alignment of tooth scans. These groups allow comparison between manual and AI-assisted digital assessments. During the study, participants' tooth preparations are assessed up to five weeks, measuring changes in preparation scores and deviation from ideal preparations. The study monitors accuracy and learning outcomes during the training sessions. Participants must attend scheduled training and examination sessions, and their assessments are recorded using the respective methods assigned to their group. The total participation involves training and evaluation over this period to observe outcomes and effectiveness of the assessment tools.