Methods and systems for utilizing radiomic-based measurements within a clinical decision support tool

A method, comprising:

• receiving, by at least one processor, image data of a plurality of medical images of a portion of a joint acquired from at least one medical imaging device prior to an implantation of at least one implant into the joint of a patient;
• generating, by the at least one processor, a plurality of pixel-voxel granularity (PVG) corrected medical images by applying at least one PVG pre-processing algorithm to the image data of each image from the plurality of medical images;
• wherein the applying of the at least one PVG pre-processing algorithm comprises:
• normalizing pixel values in the image data in each medical image by adjusting pixel gray level intensity values within each medical image of the plurality of medical images to a common gray scale;
• resampling the image data to increase or decrease a number of pixels in each medical image based on a standard voxel size between images;
• and
• converting the pixel values in each image to digital pixel values to generate PVG corrected image data for each PVG corrected medical image in the plurality of PVG corrected medical images;
• segmenting, by the at least one processor, the PVG corrected image data of each PVG corrected medical image of the portion of the joint using at least one segmentation algorithm to segment the plurality of PVG corrected medical images to identify at least one region of interest (ROI) in the portion of the joint that is represented by at least one ROI image map boundary and associated with at least one of:
• at least one bone member of the joint,
• at least one muscle associated with the joint, or
• both;
• inputting, by the at least one processor, the at least one ROI image map boundary and the PVG corrected image data from the plurality of PVG corrected medical images into at least one medical image analysis machine learning model that is trained to output:
• at least one image based measurement in the at least one region of interest, and
• at least one implant complication risk assessment for the implantation of the at least one implant into the joint;
• and
• displaying, by the at least one processor, to a user on a display, at least one three-dimensional (3D) representation of the joint and the at least one implant complication risk assessment based on the plurality of PVG corrected medical images.