US 12,246,222 B2
Method and system for using artificial intelligence to assign patients to cohorts and dynamically controlling a treatment apparatus based on the assignment during an adaptive telemedical session
Steven Mason, Las Vegas, NV (US)
Assigned to ROM Technologies, Inc., Brookfield, CT (US)
Filed by ROM TECHNOLOGIES, INC., Brookfield, CT (US)
Filed on May 23, 2022, as Appl. No. 17/750,771.
Application 17/750,771 is a continuation in part of application No. 17/739,906, filed on May 9, 2022.
Application 17/739,906 is a continuation of application No. 17/150,938, filed on Jan. 15, 2021, granted, now 11,325,005, issued on May 10, 2022.
Application 17/150,938 is a continuation in part of application No. 17/021,895, filed on Sep. 15, 2020, granted, now 11,071,597, issued on Jul. 27, 2021.
Application 17/750,771 is a continuation of application No. 16/876,472, filed on May 18, 2020, granted, now 11,337,648.
Claims priority of provisional application 62/910,232, filed on Oct. 3, 2019.
Prior Publication US 2022/0288460 A1, Sep. 15, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A63B 24/00 (2006.01); A63B 21/005 (2006.01); A63B 22/00 (2006.01); A63B 22/06 (2006.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01)
CPC A63B 24/0075 (2013.01) [A63B 21/0058 (2013.01); A63B 24/0062 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01); A63B 2022/0094 (2013.01); A63B 22/0605 (2013.01); A63B 2024/0093 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving first data pertaining to a first user that uses an electromechanical machine to perform a treatment plan, wherein the first data comprises characteristics of the first user, the treatment plan, and a result of the treatment plan;
assigning, via one or more machine learning models and based on the first data, the first user to a first cohort of a plurality of cohorts, wherein the one or more machine learning models are trained to assign the first user to the first cohort by comparing the first data of the first user to other data of people previously assigned to the plurality of cohorts, and wherein the first cohort represents the people having an at least one similarity to the characteristics of the first user;
receiving second data pertaining to a second user, wherein the second data comprises characteristics of the second user;
determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the first user assigned to the first cohort;
responsive to determining at least some of the characteristics of the second user match at least some of the characteristics of the first user,
assigning, via the one or more machine learning models, the second user to the first cohort, and
selecting, via the one or more machine learning models, the treatment plan for the second user;
transmitting, from one or more processing devices, a first control instruction to the electromechanical machine, wherein the second user uses the electromechanical machine, and wherein the first control instruction electronically adjusts a pedal radius setting of the electromechanical machine, such adjustment to be in compliance with at least a first range of motion specified in the treatment plan;
receiving third data pertaining to the second user, wherein the third data comprises the first range of motion achieved by the second user performing the treatment plan; and
transmitting, based on the first range of motion achieved by the second user, a second control instruction to the electromechanical machine, wherein the second control instruction electronically adjusts the pedal radius setting of the electromechanical machine, such adjustment to be in compliance with at least a second range of motion specified in the treatment plan.