  Previous studies on computational modeling of tooth movement in orthodontic
treatments are limited to a single model and fail in generalizing the
simulation results to other patients. To this end, we consider multiple
patients and focus on tooth movement variations under the identical load and
boundary conditions both for intra- and inter-patient analyses. We introduce a
novel computational analysis tool based on finite element models (FEMs)
addressing how to assess initial tooth displacement in the mandibular dentition
across different patients for uncontrolled tipping scenarios with different
load magnitudes applied to the mandibular dentition. This is done by modeling
the movement of each patient's tooth as a nonlinear function of both load and
tooth size. As the size of tooth can affect the resulting tooth displacement, a
combination of two clinical biomarkers obtained from the tooth anatomy, i.e.,
crown height and root volume, is considered to make the proposed model
generalizable to different patients and teeth.
