System and method for an artificial intelligence engine that uses a multi-disciplinary data source to determine comorbidity information pertaining to users and to generate exercise plans for desired user goals

A non-transitory, tangible computer-readable medium storing instructions that, when executed, cause a processing device to:

• receive data pertaining to a user, wherein the data includes a physical activity goal the user desires to achieve and wherein the physical activity goal comprises one or more levels of attainment to achieve;
• based on one or more attributes of the user, determine, by an artificial intelligence engine, one or more comorbidities associated with the user, wherein the artificial intelligence engine is trained using evidence-based guidelines;
• generate, by the artificial intelligence engine, an improved exercise plan, wherein the improved exercise plan includes at least one set of exercises to be performed by the user to achieve at least one of the one or more levels of attainment associated with the physical activity goal, and wherein the artificial intelligence engine uses at least one data source configured to include information pertaining to one or more exercises and at least one of the one or more levels of attainment associated with the physical activity goal;
• transmit the one or more comorbidities associated with the user to a computing device to present, via a user interface, information pertaining to the evidence-based guidelines used to determine the one or more comorbidities;
• and
• transmit the improved exercise plan to the computing device to control, based on the improved exercise plan, operation of a physical portion of the exercise machine.

A system, comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
• receive data pertaining to a user, wherein the data includes a physical activity goal the user desires to achieve and wherein the physical activity goal comprises one or more levels of attainment to achieve;
• based on one or more attributes of the user, determine, by an artificial intelligence engine, one or more comorbidities associated with the user, wherein the artificial intelligence engine is trained using evidence-based guidelines;
• generate, by the artificial intelligence engine, an improved exercise plan, wherein the improved exercise plan includes at least one set of exercises to be performed by the user to achieve at least one of the one or more levels of attainment associated with the physical activity goal, and wherein the artificial intelligence engine uses at least one data source configured to include information pertaining to one or more exercises and at least one of the one or more levels of attainment associated with the physical activity goal;
• transmit the one or more comorbidities associated with the user to a computing device to present, via a user interface, information pertaining to the evidence-based guidelines used to determine the one or more comorbidities;
• and
• transmit the improved exercise plan to the computing device to control, based on the improved exercise plan, operation of a physical portion of the exercise machine.