Predictive Modeling Platform for Serial Casting to Correct Orthopedic Deformities

A method for modelling of force vectors for serial casts to correct orthopedic deformities, the method comprising:

• receiving an image of the deformity;
• generating a three-dimensional model of the deformity based the image of the deformity;
• determining boundary conditions of the deformity using a machine learning model, wherein the machine learning model is trained on a plurality of prior patient data including an original image of the deformity of the patients, intermediate images of the deformity of the patients and an image of the final corrected deformity of the patient;
• determining a series of steps for correcting the deformity based on the machine learning model and the determined boundary conditions;
• and
• generating a force vector for a next series cast based on a series of simulations to minimize the deviation between the determined boundary condition and the predicted correction as determined using finite element analysis.

A non-transitory computer readable medium storing instructions executable by a processing device, wherein execution of the instructions causes the processing device to implement a method for modelling of force vectors for serial casts to correct orthopedic deformities, the method comprising:

• receiving an image of the deformity;
• generating a three-dimensional model of the deformity based the image of the deformity;
• determine boundary conditions of the deformity using a machine learning model, wherein the machine learning model is trained on a plurality of prior patient data including an original image of the deformity of the patients, intermediate images of the deformity of the patients and an image of the final corrected deformity of the patient;
• determine a series of steps for correcting the deformity based on the machine learning model and the determined boundary conditions;
• and
• generate a force vector for a next series cast based on a series of simulations to minimize the deviation between the determined boundary condition and the predicted correction as determined using finite element analysis.