System and method for using artificial intelligence in telemedicine-enabled hardware to optimize rehabilitative routines capable of enabling remote rehabilitative compliance

A computer-implemented method for optimizing a treatment plan for a user to perform using a treatment apparatus, the computer-implemented method comprising:

• receiving treatment data pertaining to the user, wherein the treatment data comprises one or more characteristics of the user;
• determining, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data;
• determining, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens;
• and
• transmitting the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user, and based on a plurality of factors comprising an amount of sleep associated with the user, information pertaining to a diet of the user, information pertaining to an eating schedule of the user, information pertaining to an age of the user, information pertaining to a sex of the user, information pertaining to a gender of the user, an indication of a mental state of the user, information pertaining to a genetic condition of the user, information pertaining to a disease state of the user, information pertaining to a microbiome from one or more locations on or in the user, an indication of an energy level of the user, or some combination thereof.

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

• receive treatment data pertaining to a user, wherein the treatment data comprises one or more characteristics of the user;
• determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data;
• determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens;
• and
• transmit a treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user, and based on a plurality of factors comprising an amount of sleep associated with the user, information pertaining to a diet of the user, information pertaining to an eating schedule of the user, information pertaining to an age of the user, information pertaining to a sex of the user, information pertaining to a gender of the user, an indication of a mental state of the user, information pertaining to a genetic condition of the user, information pertaining to a disease state of the user, information pertaining to a microbiome from one or more locations on or in the user, an indication of an energy level of the user, or some combination thereof.

A system comprising:

• a memory device storing instructions;
• and
• a processing device communicatively coupled to the memory device, the processing device executes the instructions to:
• receive treatment data pertaining to a user, wherein the treatment data comprises one or more characteristics of the user;
• determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data;
• determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens;
• generate, using at least a subset of the one or more exercises, a treatment plan for the user to perform using the treatment apparatus, wherein the generating is performed based on the respective measure of benefit the one or more exercise regimens provide to the user, the one or more probabilities of the user complying with each of the one or more exercise regimens, or some combination thereof, wherein, during generation of the treatment plan, the probability of the user complying is weighted more heavily or less heavily than the respective measure of benefit the one or more exercise regimens provide the user;
• and
• transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.