Dental implant reconstruction and restoration based on digital twin

1. A method for simulating dental implants, the method comprising:

generating one or more digital twins for a potential dental implant based on a user profile;

simulating a performance of each of the one or more digital twins in one or more user modeled environments;

ranking the one or more digital twins based on the performance of the potential dental implant in each of the one or more user modeled environments; and

monitoring a selected dental implant using a corresponding digital twin as new data is received.

2. The method of claim 1 , wherein each of the one or more digital twins is unique with respect to operational process or implant properties.

3. The method of claim 1 , wherein the corresponding digital twin is a virtual representation of the selected dental implant, wherein the selected dental implant is determined based on the ranking of the one or more digital twins.

4. The method of claim 1 , wherein monitoring the dental implant further comprises:

running a simultaneous simulation of the corresponding digital twin using one or more machine learning models as the new data is received; and

identifying one or more differences between the selected dental implant and the corresponding digital twin based on a comparison.

5. The method of claim 4 , further comprising:

retraining the one or more machine learning models based on the one or more differences between the selected dental implant and the corresponding digital twin.

6. The method of claim 1 , further comprising:

running one or more life cycle simulations of the corresponding digital twin each time the new data is received; and

providing one or more recommendations to a user based on the one or more life cycle simulations of the corresponding digital twin.

7. The method of claim 6 , wherein the new data is consumption data received in real time from one or more IoT devices.

8. A computer system for simulating dental implants, comprising:

one or more processors, one or more computer-readable memories, one or more non-transitory tangible computer-readable tangible storage medium, and program instructions stored on at least one of the one or more non-transitory tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:

generating one or more digital twins for a potential dental implant based on a user profile;

simulating a performance of each of the one or more digital twins in one or more user modeled environments;

ranking the one or more digital twins based on the performance of the potential dental implant in each of the one or more user modeled environments; and

monitoring a selected dental implant using a corresponding digital twin as new data is received.

9. The computer system of claim 8 , wherein each of the one or more digital twins is unique with respect to at least operational process or implant properties.

10. The computer system of claim 8 , wherein the corresponding digital twin is a virtual representation of the selected dental implant, wherein the selected dental implant is determined based on the ranking of the one or more digital twins.

11. The computer system of claim 8 , wherein monitoring the dental implant further comprises:

running a simultaneous simulation of the corresponding digital twin using one or more machine learning models as the new data is received; and

identifying one or more differences between the selected dental implant and the corresponding digital twin based on a comparison.

12. The computer system of claim 11 , further comprising:

retraining the one or more machine learning models based on the one or more differences between the selected dental implant and the corresponding digital twin.

13. The computer system of claim 8 , further comprising:

running one or more life cycle simulations of the corresponding digital twin each time the new data is received; and

providing one or more recommendations to a user based on the one or more life cycle simulations of the corresponding digital twin.

14. The computer system of claim 13 , wherein the new data is consumption data received in real time from one or more IoT devices.

15. A non-transitory computer program product for simulating dental implants, comprising:

one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:

generating one or more digital twins for a potential dental implant based on a user profile;

simulating a performance of each of the one or more digital twins in one or more user modeled environments;

ranking the one or more digital twins based on the performance of the potential dental implant in each of the one or more user modeled environments; and

monitoring a selected dental implant using a corresponding digital twin as new data is received.

16. The computer program product of claim 15 , wherein each of the one or more digital twins is unique with respect to at least operational process or implant properties.

17. The computer program product of claim 15 , wherein the corresponding digital twin is a virtual representation of the selected dental implant, wherein the selected dental implant is determined based on the ranking of the one or more digital twins.

18. The computer program product of claim 15 , wherein monitoring the dental implant further comprises:

running a simultaneous simulation of the corresponding digital twin using one or more machine learning models as the new data is received; and

identifying one or more differences between the selected dental implant and the corresponding digital twin based on a comparison.

19. The computer program product of claim 18 , further comprising:

retraining the one or more machine learning models based on the one or more differences between the selected dental implant and the corresponding digital twin.

20. The computer program product of claim 15 , further comprising:

running one or more life cycle simulations of the corresponding digital twin each time the new data is received; and

providing one or more recommendations to a user based on the one or more life cycle simulations of the corresponding digital twin.