Systems and methods for anatomical and injury modeling

Abstract

The present disclosure relates to systems and methods for anatomical and injury modeling. A system can process multimedia and sensor data collected during various anatomical tests, such as mobility tests and muscle, ligament, or tendon assessments, performed by a user. By applying this data to neural network models, the system can generate anatomy scores and subscores for specific body regions, identifying potential vulnerabilities in the anatomy of the user. The system can further generate a personalized conditioning protocol to address these vulnerabilities and reducing the likelihood of injury.

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