Systems and methods for estimating tissue parameters using surgical devices

A system for estimating tissue parameters, the system comprising:

• an electrosurgical system;
• one or more processors;
• and
• at least one memory coupled to the one or more processors, the at least one memory having instructions stored thereon which, when executed by the one or more processors, cause the system to:
• collect data, from a surgical system including an instrument and an energy source, the data including at least one observed electrical parameter associated with delivering energy from the instrument to tissue, wherein the at least one observed electrical parameter includes power over a period of time and an instantaneous impedance of the tissue;
• communicate the data to at least one machine learning algorithm, wherein the at least one machine learning algorithm is trained using training data that includes at least one of an impedance versus time curve or a power versus time curve and corresponding tissue temperature or tissue pressure;
• estimating, using the at least one machine learning algorithm, a tissue parameter based on the at least one observed electrical parameter, wherein the estimated tissue parameter includes an estimated tissue temperature and an estimated tissue pressure;
• communicate the estimated tissue parameter to a computing device associated with the energy source for use in formulating an energy-delivery algorithm for delivering energy from the instrument to tissue;
• and
• delivering energy from the instrument of the surgical system to tissue in accordance with the energy-delivery algorithm.