IP Library › Granted Patent US 12,230,382
Granted Patent B2
US 12,230,382 · App. 18/375,495 · Granted Feb 18, 2025

Systems and methods for using artificial intelligence and machine learning to predict a probability of an undesired medical event occurring during a treatment plan

Inventors: Joel Rosenberg (Brookfield, CT); Steven Mason (Las Vegas, NV)
Assignee: ROM Technologies, Inc.
G16H20/30A63B24/0062G16H50/30A63B2024/0065
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Quick Facts
Patent No.
US 12,230,382
App. No.
18/375,495
Granted
Feb 18, 2025
Kind
B2
Abstract

A computer-implemented system includes a treatment apparatus configured to implement a treatment plan while the treatment apparatus is being manipulated by a user and a processing device configured to receive a plurality of risk factors, each of the plurality of risk factors being associated with one or more medical events or outcomes for a user; generate a set of the risk factors; determine, based on the set of the risk factors and measurement information associated with the user, one or more individual probabilities that the one or more medical events or outcomes will occur while the treatment apparatus is being manipulated by the user; and perform, based on the one or more individual probabilities, one or more corrective actions associated with the one or more medical events or outcomes.

Claims (36)

1. A computer-implemented system, comprising:

a treatment apparatus configured to implement a treatment plan while the treatment apparatus is being manipulated by a user; and

a processing device configured to:

receive a plurality of risk factors, wherein each of the plurality of risk factors is associated with one or more medical events or outcomes for a user,

generate a set of the risk factors,

determine, based on the set of the risk factors and measurement information associated with the user, one or more individual probabilities that the one or more medical events or outcomes will occur while the treatment apparatus is being manipulated by the user, and

perform, based on the one or more individual probabilities, one or more corrective actions associated with the one or more medical events or outcomes, wherein the one or more corrective actions comprise controlling the treatment apparatus being manipulated by the user.

2. The computer-implemented system of claim 1 , wherein the processing device is configured to perform the one or more corrective actions in response to at least one of the one or more individual probabilities exceeding a respective probability threshold.

3. The computer-implemented system of claim 1 , wherein the processing device is configured to determine a union of probabilities of the one or more individual probabilities and to perform the one or more corrective actions in response to the union of probabilities exceeding a union of probabilities threshold.

4. The computer-implemented system of claim 1 , wherein the processing device is configured to execute a risk factor model, and wherein, to generate the set of the risk factors, the risk factor model is configured to at least one of assign weights to the risk factors, rank the risk factors, and filter the risk factors.

5. The computer-implemented system of claim 4 , wherein the processing device is configured to execute a probability model, wherein the probability model is configured to determine one or more of the individual probabilities.

6. The computer-implemented system of claim 5 , wherein the processing device is configured to execute a corrective action model, wherein the corrective action model is configured to generate an output to enable or cause the one or more corrective actions to be performed.

7. The computer-implemented system of claim 1 , wherein, to determine the one or more individual probabilities that the one or more medical events or outcomes will occur, the processing device is configured to compare the measurement information to various ranges of values associated with the user.

8. The computer-implemented system of claim 7 , wherein the processing device is configured, based on the plurality of risk factors, to generate the various ranges of values.

9. The computer-implemented system of claim 1 , wherein, to perform the one or more corrective actions, the processing device is configured to generate a message.

10. The computer-implemented system of claim 9 , wherein the message includes a recommendation of at least one procedure to be performed on the user.

11. The computer-implemented system of claim 9 , wherein the processing device is further configured to transmit the message to at least one of a clinician and an emergency medical service.

12. The computer-implemented system of claim 1 , wherein the processing device is configured to initiate, while the user performs the treatment plan, a telemedicine session between a computing device of the user and a computing device of a healthcare professional.

13. A method for operating a treatment apparatus, the method comprising:

using the treatment apparatus, implementing a treatment plan while the treatment apparatus is being manipulated by a user; and

at a processing device:

receiving a plurality of risk factors, wherein each of the plurality of risk factors is associated with one or more medical events or outcomes for a user,

generating a set of the risk factors,

determining, based on the set of the risk factors and measurement information associated with the user, one or more individual probabilities that the one or more medical events or outcomes will occur while the treatment apparatus is being manipulated by the user, and

performing, based on the one or more individual probabilities, one or more corrective actions associated with the one or more medical events or outcomes, wherein the one or more corrective actions comprise controlling the treatment apparatus being manipulated by the user.

14. The method of claim 13 , further comprising performing the one or more corrective actions in response to at least one of the one or more individual probabilities exceeding a respective probability threshold.

15. The method of claim 13 , further comprising determining a union of probabilities of the one or more individual probabilities and performing the one or more corrective actions in response to the union of probabilities exceeding a union of probabilities threshold.

16. The method of claim 13 , further comprising executing a risk factor model, wherein generating the set of the risk factors includes at least one of assigning weights to the risk factors, ranking the risk factors, and filtering the risk factors.

17. The method of claim 16 , further comprising executing a probability model, wherein the probability model is configured to determine one or more of the individual probabilities.

18. The method of claim 17 , further comprising executing a corrective action model, wherein the corrective action model is configured to generate an output to enable or cause the one or more corrective actions to be performed.

19. The method of claim 13 , wherein determining the one or more individual probabilities that the one or more medical events or outcomes will occur includes comparing the measurement information to various ranges of values associated with the user.

20. The method of claim 19 , further comprising generating, based on the plurality of risk factors, the various ranges of values.

21. The method of claim 13 , wherein performing the one or more corrective actions includes generating a message.

22. The method of claim 21 , wherein the message includes a recommendation of at least one procedure to be performed on the user.

23. The method of claim 21 , further comprising transmitting the message to at least one of a clinician and an emergency medical service.

24. The method of claim 13 , further comprising initiating, while the user performs the treatment plan, a telemedicine session between a computing device of the user and a computing device of a healthcare professional.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 1, 2023
From: ROSENBERG, JOEL, DR.; MASON, STEVEN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 065731/0150 →
Continuity (7)
Continuation In Part 17736891 · May 4, 2022
Continuation In Part 17379542 · Jul 19, 2021
Continuation 17146705 · Jan 12, 2021
Continuation In Part 17021895 · Sep 15, 2020
Provisional Application 63113484 · Nov 13, 2020
Provisional Application 62910232 · Oct 3, 2019
Related Publication 20240029856A1 · Jan 25, 2024
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