Powered surgical tool with predefined adjustable control algorithm for controlling end effector parameter

1. A surgical system, comprising:

a surgical instrument comprising an end effector, wherein the end effector is configured to perform an end effector function on tissue captured by the end effector;

a sensor configured to sense a parameter of the end effector, wherein the parameter is associated with the end effector function performed on the tissue; and

a control circuit configured to:

control the end effector function and automatically adapt the control of the end effector function over subsequent uses of the surgical instrument, according to the parameter sensed by the sensor; and

limit the automatic adaptation of the control of the end effector function.

2. The surgical system of claim 1 , wherein the control circuit is further configured to automatically adapt the control of the end effector function using machine learning.

3. The surgical system of claim 1 , wherein the control circuit is further configured to automatically adapt the end effector function according to a set of previously-sensed parameters from previous uses of the surgical instrument.

4. The surgical system of claim 3 , wherein the set of previously-sensed parameters comprises parameters sensed during uses of the surgical instrument by a specific user.

5. The surgical system of claim 3 , wherein the set of previously-sensed parameters comprises parameters sensed during uses of the surgical instrument in a specific location.

6. The surgical system of claim 1 , wherein the control circuit is further configured to limit the automatic adaptation of the control of the end effector function to a specific range of adjustments.

7. The surgical system of claim 6 , wherein the specific range of adjustments is predefined.

8. The surgical system of claim 6 , wherein the specific range of adjustments is manually adjustable.

9. The surgical system of claim 6 , wherein the specific range of adjustments is automatically adjusted by the control circuit based on machine learning.

10. The surgical system of claim 1 , wherein the control circuit is further configured to limit the automatic adaptation of the control of the end effector function to a maximum threshold adjustment.

11. The surgical system of claim 1 , wherein limiting the automatic adaptation of the control of the end effector function is based on a per-use basis.

12. The surgical system of claim 1 , wherein limiting the automatic adaptation of the control of the end effector function is based on a specific user.

13. The surgical system of claim 1 , wherein the limiting the automatic adaptation of the control of the end effector function is based on a specific location of the surgical instrument.

14. The surgical system of claim 1 , wherein:

the end effector comprises a tissue cutting knife configured to cut the tissue;

the parameter associated with the end effector function comprises a load experienced by the tissue cutting knife as the tissue cutting knife cuts the tissue; and

automatically adapting the control of the end effector function comprises adjusting a speed of the tissue cutting knife for a subsequent use of the surgical instrument.

15. A surgical system, comprising:

a surgical instrument comprising an end effector, wherein the end effector is configured to perform an end effector function on tissue captured by the end effector;

a sensor configured to sense a first parameter of the end effector, wherein the first parameter is associated with the end effector function performed on the tissue; and

a control circuit configured to:

control a second parameter of the end effector, wherein the second parameter is associated with the end effector function performed on the tissue;

automatically adjust the control of the second parameter for subsequent uses of the surgical instrument, according to the first parameter sensed by the sensor; and

limit the automatic adjustment of the control of the second parameter to an adjustability window.

16. The surgical system of claim 15 , wherein the control circuit is configured to automatically adjust the control of the second parameter using machine learning.

17. The surgical system of claim 15 , wherein the adjustability window is manually selectable by a clinician.

18. The surgical system of claim 15 , wherein the adjustability window is automatically selected based on machine learning.

19. A surgical system, comprising:

a surgical instrument comprising an end effector, wherein the end effector is configured to perform an end effector function on tissue;

a sensor configured to sense a parameter experienced by the surgical instrument as the end effector function is performed on the tissue; and

a control circuit configured to:

receive information about the parameter sensed by the sensor;

control the end effector function;

adapt the control of the end effector function over subsequent uses of the surgical instrument, based on the parameter sensed by the sensor; and

limit the adaptation of the control of the end effector function.

20. The surgical system of claim 19 , wherein limiting the adaptation of the control of the end effector function comprises limiting the adaptation of the control of the end effector function to a range of adaptability.