CPC G06N 3/08 (2013.01) [A61B 17/320092 (2013.01); A61B 18/1445 (2013.01); A61B 18/1815 (2013.01); G06N 3/049 (2013.01); G16H 10/40 (2018.01); A61B 2017/00199 (2013.01); A61B 2017/0023 (2013.01); A61B 2017/00734 (2013.01); A61B 2017/00973 (2013.01); A61B 2017/320074 (2017.08); A61B 2018/00577 (2013.01); A61B 2018/0063 (2013.01); A61B 2018/00779 (2013.01); A61B 2018/00827 (2013.01); A61B 2018/00845 (2013.01); A61B 2018/00892 (2013.01); A61B 2018/1253 (2013.01); A61B 2018/126 (2013.01); G06Q 50/06 (2013.01)] | 20 Claims |
1. A computer implemented method for estimating tissue parameters, the computer implemented method comprising:
collecting 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;
communicating 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 upon the at least one observed electrical parameter, wherein the estimated tissue parameter includes an estimated tissue temperature and an estimated tissue pressure;
communicating the estimated tissue parameter to a computing device associated with the energy source;
formulating an energy-delivery algorithm for delivering energy from the instrument to tissue based on the estimated tissue temperature and tissue pressure; and
delivering energy from the instrument of the surgical system to tissue in accordance with the energy-delivery algorithm.
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