System and method for using AI/ML to generate treatment plans to stimulate preferred angiogenesis
A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.
1. A computer-implemented system for controlling a treatment apparatus, the computer-implemented system comprising:
one or more processing devices that
receives a plurality of user and blood vessel characteristics associated with a user,
generates a selected set of user and blood vessel characteristics,
determines, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and
generates, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur; and
a treatment apparatus that implements the treatment plan while the treatment apparatus is being manipulated by the user, wherein, to implement the one or more exercises of the treatment plan directed to modifying the probability that angiogenesis will occur, the treatment apparatus includes an electromechanical machine controlled by the computer-implemented system responsive to the one or more processing devices.
2. The computer-implemented system of claim 1 , wherein the user and blood vessel characteristics include at least one of blockage of a blood vessel of the user, familial history of blood vessel disease, heart rate of the user, and blood pressure of the user.
3. The computer-implemented system of claim 1 , wherein to modify the probability that angiogenesis will occur, the treatment plan is configured to one of stimulate and inhibit angiogenesis.
4. The computer-implemented system of claim 1 , wherein the one or more processing devices execute a user and blood vessel characteristics model, and wherein, to generate the selected set of the user and blood vessel characteristics, the user and blood vessel characteristics model is configured to at least one of assign weights to the user and blood vessel characteristics, rank the user and blood vessel characteristics, and filter the user and blood vessel characteristics.
5. The computer-implemented system of claim 4 , wherein the one or more processing devices execute a probability model, wherein the probability model is configured to determine the probability that angiogenesis will occur.
6. The computer-implemented system of claim 4 , wherein the one or more processing devices execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to modify the probability that angiogenesis will occur.
7. The computer-implemented system of claim 6 , wherein, based on an indication of whether angiogenesis is desirable, the treatment plan model is configured to generate the treatment plan.
8. The computer-implemented system of claim 6 , wherein, in response to a determination that angiogenesis is desirable, the treatment plan model is configured to generate the treatment plan to increase the probability that angiogenesis will occur.
9. The computer-implemented system of claim 6 , wherein, in response to a determination that angiogenesis is not desirable, the treatment plan model is configured to generate the treatment plan to decrease the probability that angiogenesis will occur.
10. The computer-implemented system of claim 1 , wherein, subsequent to implementing the treatment plan using the treatment apparatus, the one or more processing devices modify the treatment plan based on a determination of whether the probability that angiogenesis will occur changed.
11. The computer-implemented system of claim 10 , wherein the one or more processing devices transmit the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
12. The computer-implemented system of claim 1 , wherein the one or more processing devices 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 controlling a treatment apparatus using a computer-implemented system, the method comprising:
receiving a plurality of user and blood vessel characteristics associated with a user;
generating a selected set of user and blood vessel characteristics;
determining, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur;
generating, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur; and
using the treatment apparatus, implementing the treatment plan while the treatment apparatus is being manipulated by the user, wherein using the treatment apparatus includes controlling, by the computer-implemented system, an electromechanical machine to implement the one or more exercises of the treatment plan directed to modifying the probability that angiogenesis will occur.
14. The method of claim 13 , wherein the user and blood vessel characteristics include at least one of blockage of a blood vessel of the user, familial history of blood vessel disease, heart rate of the user, and blood pressure of the user.
15. The method of claim 13 , wherein modifying the probability that angiogenesis will occur includes one of stimulating and inhibiting angiogenesis.
16. The method of claim 13 , further comprising executing a user and blood vessel to generate the selected set of the user and blood vessel characteristics by at least one of assigning weights to the user and blood vessel characteristics, ranking the user and blood vessel characteristics, and filtering the user and blood vessel characteristics.
17. The method of claim 16 , further comprising executing a probability model to determine the probability that angiogenesis will occur.
18. The method of claim 16 , further comprising executing a treatment plan model to generate the treatment plan to modify the probability that angiogenesis will occur.
19. The method of claim 18 , further comprising, based on an indication of whether angiogenesis is desirable, using the treatment plan model to generate the treatment plan.
20. The method of claim 18 , further comprising, in response to a determination that angiogenesis is desirable, using the treatment plan model to generate the treatment plan to increase the probability that angiogenesis will occur.
21. The method of claim 18 , further comprising, in response to a determination that angiogenesis is not desirable, using the treatment plan model to generate the treatment plan to decrease the probability that angiogenesis will occur.
22. The method of claim 13 , further comprising, subsequent to implementing the treatment plan using the treatment apparatus, modifying the treatment plan based on a determination of whether the probability that angiogenesis will occur changed.
23. The method of claim 22 , further comprising transmitting the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
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.