Mechanical in-silico modeling of orthodontic tooth movement: A review of the boundary value problem
Patrick Kurzeja, Ivan Giorgio, Michele Tepedino · 2025 · 4 citationsRead the paper
Orthodontic tooth movement allows clinicians to modify tooth position and functionality using a mechanical stimulus, which makes reliable mechanical models highly beneficial for predictive tasks and virtual parameter studies. Several individual advancements over the last few decades have identified challenges within this system of multiple constituents. This work aims at providing a thorough review from the mechanical perspective. It specifically reviews and discusses the mechanical boundary value problem in terms of geometry, loads, and material behavior. Characteristic values of the involved loads and material models are summarized. Clinical key features of the treatment process then highlight the link between the mechanical and the clinical perspective, underlining the relevance of variability in patients and treatment. Future perspectives can be guided by practical assessment of model sensitivity, data uncertainty, and the coupling to non-mechanical fields.
4 ideas Seedlabs derived from this research
A clinical software tool that allows orthodontists to input patient-specific geometry and material properties to simulate tooth movement and predict treatment outcomes before applying physical force.
AI score 76/100A predictive software tool for orthodontists to simulate tooth movement based on patient-specific geometry and material properties before applying physical braces.
AI score 76/100A simulation tool that predicts tooth movement and aligner forces for individual patients, turning expert biomechanical consensus into validated, personalized treatment planning.
AI score 55/100A software module integrated into dental CAD workflows that recommends optimal aligner thickness for each planned tooth movement, based on experimentally validated derotation data from 3D-printed resins.
AI score 53/100