IP Library Granted Patent US 12708814
Granted Patent B2
US 12708814 · App. 17/854,873 · Granted Aug 18, 2026

System and method for using an artificial intelligence engine to anonymize competitive performance rankings in a rehabilitation setting

Inventor: Steven Mason (Las Vegas, NV)
Assignee: ROM Technologies, Inc.
A63B24/0075A63B21/0058A63B24/0062G06N20/00G16H10/60G16H20/30A63B2022/0094A63B22/0605A63B2024/0093
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Quick Facts
Patent No.
US 12708814
App. No.
17/854,873
Granted
Aug 18, 2026
Kind
B2
Abstract

The present disclosure provides a method comprising the steps: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise; receiving first measurement data, where the first measurement data is associated with a first performance data; receiving second measurement data, where the second measurement data is associated with at least one of a second performance data and a second patient identifier; one of anonymiztion of and pseudonymization of the second patient identifier; determining, via an artificial intelligence engine and based on one or more differences between the first and the second measurement data, differential data; and presenting, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data.

Claims (36)

1 . A method for performing an exercise with an exercise apparatus, the method comprising:

receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise, wherein the first treatment plan is generated by one or more computer-implemented models trained using training data comprising inputs mapped to outputs, wherein the inputs are associated with medical conditions of users and the outputs are associated with treatment plans;

receiving first measurement data, wherein the first measurement data is associated with a first performance data;

receiving second measurement data, wherein the second measurement data is associated with at least one of a second performance data and a second patient identifier;

performing one of anonymization of and pseudonymization of the second patient identifier;

determining, via an artificial intelligence (AI) engine and based on one or more differences between the first and the second measurement data, differential data;

presenting, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data;

based on the first treatment plan, controlling, via the one or more computer-implemented models, the exercise apparatus by automatically modifying an operating parameter of a physical portion of the exercise apparatus.

2 . The method of claim 1 , further comprising modifying, via the AI engine and based on the differential data, an operating parameter of the exercise apparatus.

3 . The method of claim 2 , wherein controlling comprises transmitting an instruction,

and wherein, further, the instruction comprises modifying an operating state of the exercise apparatus.

4 . The method of claim 3 , wherein transmitting an instruction further comprises transmitting, to the user interface, an input, and wherein, the input is displayed in the user interface.

5 . The method of claim 3 , wherein the first patient data is generated via the AI engine and associated with at least one of a prior exercise and a concurrent exercise.

6 . The method of claim 1 , wherein the one or more differences comprises one or more qualitative differences.

7 . The method of claim 1 , wherein the one or more differences comprises one or more quantitative differences.

8 . The method of claim 1 , wherein the second measurement data is generated via the AI engine and based on a statistic related to or derived from performance data of a cohort of patients.

9 . The method of claim 8 , wherein the second measurement data is associated with a characteristic generated via the AI engine and based on the performance data of the cohort of patients.

10 . The method of claim 9 , wherein the characteristic is generated via the AI engine and based on data from the cohort of patients.

11 . The method of claim 10 , wherein the second measurement data is received in real-time or near real-time.

12 . A system for performing an exercise with an exercise apparatus, the system comprising:

a processing device;

an artificial intelligence (AI) engine executed by the processing device;

a memory including instruction that, when executed by the processing device, cause the processing device to:

receive first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise, wherein the first treatment plan is generated by one or more computer-implemented models trained using training data comprising inputs mapped to outputs, wherein the inputs are associated with medical conditions of users and the outputs are associated with treatment plans;

receive first measurement data, where the first measurement data is associated with a first performance data;

receive second measurement data, where the second measurement data is associated with at least one of a second performance data and a second patient identifier;

anonymize the second patient identifier;

determine, via the artificial intelligence engine and based on one or more differences between the first and the second measurement data, differential data;

present, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data; and

based on the first treatment plan, control, via the one or more computer-implemented models, the exercise apparatus by automatically modifying an operating parameter of a physical portion of the exercise apparatus.

13 . The system of claim 12 , wherein the processing device is further configured to modify, via the AI engine and based on the differential data, an operating parameter of the exercise apparatus.

14 . The system of claim 13 , wherein transmitting an instruction further comprises transmitting, to the user interface, an input, and wherein, the input is displayed in the user interface.

15 . The system of claim 13 , wherein the first patient data is generated via the AI engine and associated with at least one of a prior exercise and a concurrent exercise.

16 . The system of claim 13 , wherein controlling comprises transmitting an instruction, and wherein, further, the instruction comprises modifying an operating state of the exercise apparatus.

17 . The system of claim 12 , wherein the second measurement data is generated via the AI engine and based on a statistic related to or derived from performance data of a cohort of patients.

18 . The system of claim 17 , wherein the second measurement data is associated with a characteristic generated via the AI engine and based on the performance data of the cohort of patients.