System and method for using AI ML and telemedicine to perform bariatric rehabilitation via an electromechanical machine

A method for controlling a treatment apparatus, the method comprising:

• at one or more processing devices,
• receiving attribute data associated with a user,
• generating, based on at least one of a first bariatric procedure to be performed on the user and a second bariatric procedure already performed on the user, a selected set of the attribute data,
• determining, based on the selected set of the attribute data, at least one of (i) a first probability of being eligible for the first bariatric procedure to be performed on the user and (ii) a second probability of improving a bariatric condition of the user subsequent to the second bariatric procedure being performed on the user, and
• generating, based on the at least one of the first probability and the second probability, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability;
• and
• controlling a treatment apparatus to implement the treatment plan, wherein controlling the treatment apparatus includes (i) controlling, based on the treatment plan, one or more operating parameters of an electromechanical machine of the apparatus, (ii) generating and transmitting, to the one or more processing devices, measurement information associated with performance of the treatment plan by the user while the user uses the electromechanical machine, wherein the attribute data includes the measurement information, and (iii) selectively adjusting the one or more operating parameters of the electromechanical machine in response to modifications, by the one or more processing devices, of the treatment plan.