CPC G16H 20/30 (2018.01) [A63B 24/0062 (2013.01); G16H 50/30 (2018.01); A63B 2024/0065 (2013.01)] | 30 Claims |
1. A method for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome, the method comprising:
receiving attribute data associated with a user, wherein the attribute data comprises one or more symptoms associated with the user;
while the user uses an electromechanical machine to perform a first treatment plan for the user, receiving measurement data associated with the user;
generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user, wherein the generating is based on at least the attribute data associated with the user and the measurement data associated with the user, and wherein the second treatment plan comprises a description of one or more predicted disease states of the user; and
transmitting, to a computing device, the second treatment plan for the user.
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