System and method for using artificial intelligence and machine learning to generate treatment plans that include tailored dietary plans for users

A computer-implemented method, comprising:

• receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof;
• using training data comprising labeled inputs mapped to labeled outputs, training one or more machine learning models, wherein the labeled inputs comprise the one or more characteristics of the user and the labeled outputs comprise a treatment;
• generating, using the one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan comprises:
• at least a dietary plan paired with an exercise plan, wherein:
• the dietary plan is tailored to manage one or more medical conditions associated with the user, and
• the exercise plan comprises one or more exercises associated with the one or more medical conditions;
• presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan;
• and
• based on the exercise plan, controlling, while the user performs the at least one exercise of the one or more exercises, operation of at least a portion of an electromechanical machine by transmitting a control instruction to the electromechanical machine, and in response to the electromechanical machine receiving the control instruction, automatically modifying a range of motion, a resistance, a revolutions per minute, a speed, or some combination thereof of the electromechanical machine.

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

• receive one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof;
• using training data comprising labeled inputs mapped to labeled outputs, train one or more machine learning models, wherein the labeled inputs comprise the one or more characteristics of the user and the labeled outputs comprise a treatment plan,
• and further wherein the treatment plan comprises at least a dietary plan paired with an exercise plan;
• generate, using the one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan comprises:
• the dietary plan paired with the exercise plan, wherein the dietary plan is tailored to manage one or more medical conditions associated with the user, and
• the exercise plan comprises one or more exercises associated with the one or more medical conditions;
• present, via a display device, at least a portion of the treatment plan comprising the dietary plan;
• and
• based on the exercise plan, control, while the user performs the at least one exercise of the one or more exercises, operation of at least a portion of an electromechanical machine by transmitting a control instruction to the electromechanical machine, and in response to the electromechanical machine receiving the control instruction, automatically modifying a range of motion, a resistance, a revolutions per minute, a speed, or some combination thereof of the electromechanical machine.