Automated patient modeling and positioning

A system for automated patient positions and modelling, comprising:

• an imaging sensor;
• and
• a hardware processor configured to receive image data from the imaging sensor, wherein the hardware processor is further configured to:
• classify the image data, using a first machine learning model, as a patient pose based on one or more pre-defined protocols for patient positioning;
• provide a confidence score based on the classification of the image data;
• and
• if the confidence score is less than a pre-determined value, re-classifying the image data using a second machine learning model;
• or
• if the confidence score is greater than a pre-determined value, identify the image data as corresponding to a patient pose based on the one or more pre-defined protocols for patient positioning.

A computer program product comprising a non-transitory computer-readable medium having machine-readable instructions stored thereon, which when executed by a computer causes the computer to:

• obtain image data from an imaging sensor;
• classifying the image data, using a first machine learning model as a patient pose based on one or more pre-defined protocols for patient positioning;
• providing a confidence score based on the classification of the image data;
• and
• if the confidence score is less than a pre-determined value, re-classifying the image data using a second machine learning model;
• or
• if the confidence score is greater than a pre-determined value, identify the image data as corresponding to a patient pose based on the one or more pre-defined protocols for patient positioning.