| CPC A61B 34/10 (2016.02) [G16H 20/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 2034/102 (2016.02); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02); A61B 2034/108 (2016.02); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/30 (2018.01)] | 22 Claims |
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1. A method for predicting a success of a planned spinal surgical procedure, the method being implemented by a computer processor of a computer system, the method comprising:
receiving, at the computer system, pre-operative imaging data of a subject under evaluation for a spinal surgery;
receiving, at the computer system, at least one correlation between at least one of post-operative and pre-operative biomechanical parameters and a known outcome of a spinal surgical procedure for each one of at least some members of a reference population;
generating, by the computer processor using the pre-operative imaging data and at least one of anthropometric data of the subject, demographic data, or patient reported outcome measures (PROMs) a virtual three-dimensional (3D) biomechanical model of the spine of the subject under evaluation;
deriving, by the computer processor, pre-operative and post-operative biomechanical parameters from the virtual 3D biomechanical model of the spine of the subject to provide derived pre-operative and post-operative biomechanical parameters, wherein the deriving the pre-operative and post-operative biomechanical parameters is conducted by:
(i) segmenting, by the computer processor executing a machine learning algorithm comprising a convolutional neural network on the pre-operative imaging data, the spine of the subject in the generated virtual 3D biomechanical model of the spine of the subject, and applying, by the computer processor, inverse dynamics and finite element analysis to the segmented spine to provide at least the derived pre-operative biomechanical parameters; and
(ii) simulating, by the computer processor, the planned spinal surgical procedure using the virtual 3D biomechanical model of the subject to provide at least the derived post-operative biomechanical parameters,
wherein the simulating comprises:
sequentially inserting each of a plurality of potential virtual 3D implants into the 3D virtual biomechanical model, the plurality of potential virtual 3D implants corresponding to a plurality of potential physical 3D implants; and
performing, for each potential virtual 3D implant in the plurality of potential virtual 3D implants, a dynamic analysis, resulting in the derived post-operative biomechanical parameters for each of the plurality of potential physical 3D implants;
applying, by the computer processor, to the derived pre-operative and post-operative biomechanical parameters of the subject the at least one correlation, thereby grading a predicted outcome of the planned spinal surgical procedure according to a predetermined rating with each of the plurality of potential virtual 3D implants to obtain a plurality of respective grades, resulting in a grading of the predicted outcome with each of the plurality of potential physical 3D implants; and
selecting at least one of the plurality of potential physical 3D implants for use in the planned spinal procedure based on the grade of the at least one of the plurality of potential physical 3D implants.
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