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A Patient-Specific Digital Twin Model for Haptic-Based Dental Simulation: Development and Pilot Evaluation of Its
Teodor Raul Constantin1, Mihaela Pantea2, Lucian Toma Ciocan3
1Faculty of Dentistry, "Carol Davila" University of Medicine and Pharmacy, 37 Dionisie Lupu Street, District 2, 020021 Bucharest, Romania.
Abstract:
Purpose: Haptic and mixed-reality (MR) simulation technologies are increasingly used in preclinical dental education to support psychomotor skill acquisition and to reduce early patient exposure. This technical feasibility study aimed to develop a patient-specific digital twin patient model integrated into an MR haptic-based dental simulator and to explore dental students' perceptions of it through an exploratory post-workshop survey. Materials and Methods: A digital twin patient model was created by integrating intraoral, facial, and cone-beam computed tomography (CBCT) datasets, and was implemented within the SIMtoCARE Dente haptic-based dental simulator (SIMtoCARE B.V., Vreeland, The Netherlands). In this single-centre pilot study, students completed a structured questionnaire assessing usability, perceived fidelity, and curricular relevance on the same day, following a single faculty-led workshop. Of the 50 students who attended, 41 completed the questionnaire (response rate: 82%). Results: The proposed workflow enabled the creation and implementation of the digital twin patient model. Students reported high acceptance and perceived educational value, with 92.7% supporting curricular integration. Prior exposure to haptic systems did not differ across demographic groups. Fourth-year respondents showed significantly higher agreement with the item on complementarity with conventional training. Conclusions: The digital twin patient model was positively perceived by dental students in this single-centre pilot study. These findings reflect immediate self-reported perceptions and require validation in larger, comparative and longitudinal studies.
