| CPC G16H 20/40 (2018.01) [G16H 10/40 (2018.01)] | 20 Claims |
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1. A method for supporting high-frequency (HF) and/or ultrasound (US) surgical procedures which are carried out using a plurality of HF and/or US surgical instruments that are configured to receive HF and/or US power supplied by HF and/or US generators, where each of the HF and/or US generators are located at different locations and are responsible for powering separate surgical systems, wherein each surgical system comprises one or more of the plurality of HF and/or US surgical instruments and one of the HF and/or US generators, the method comprising:
a) recording and temporarily storing in the HF and/or US generators data collected from a plurality of the HF and/or US surgical procedures carried out using the plurality of HF and/or US surgical instruments, each of the HF and/or US generators being:
equipped with an electrical measuring device that is configured to carry out measurements of electrical properties of treated tissue during the surgical procedures, and
configured to supply HF and/or US power to one or more of the plurality of HF and/or US surgical instruments in HF and/or US modes with predetermined operating parameter sets, the HF and/or US modes being selectable from operating menus of the HF and/or US generators for specific applications during one or more of the HF and/or US surgical procedures,
b) transferring the temporarily stored data collected from the plurality of the HF and/or US surgical procedures from the HF and/or US generators to a central analysis device,
c) storing and analyzing the transferred data collected from the plurality of the HF and/or US surgical procedures in the central analysis device, wherein a data consolidation, an extraction of data and/or features, an analysis by machine learning, and/or an analysis by data mining take place in method step c),
d) as a result of the analysis of the transferred data collected from the plurality of the HF and/or US surgical procedures, performing at least one of:
adapting an existing one of the HF and/or US modes in the operating menus of the HF and/or US generators for a specific application during one or more of the HF and/or US surgical procedures in which the HF and/or US generators supply HF and/or US power to one or more of the plurality of HF and/or US surgical instruments, the adapted one of the HF and/or US modes being saved in the operating menus, and
generating a new HF and/or US mode in addition to the HF and/or US modes already available in the operating menus of the HF and/or US generators for a specific application during one or more of the HF and/or US surgical procedures in which the HF and/or US generators supply HF and/or US power to one or more of the plurality of HF and/or US surgical instruments, the new HF and/or US mode being saved in the operating menus, and
e) operating one or more of the HF and/or US generators to supply HF and/or US power to one or more of the plurality of HF and/or US surgical instruments in the adapted one of the HF and/or US modes or in the new HF and/or US mode, wherein:
the data collected from the plurality of the HF and/or US surgical procedures includes surgical data and/or measurement data collected by the electrical measuring device,
an impedance or a resistance of the treated tissue, current and voltage characteristics, power output, duration of the application, number of activations, temperatures of the treated tissue, or types of the treated tissue are recorded and temporarily stored as the measurement data in method step a),
the measurement data is recorded and temporarily stored in a time correlation with the HF and/or US mode and/or the HF and/or US power introduced, and
at least one of the following is satisfied:
the analyzing of the transferred data collected from the plurality of the HF and/or US surgical procedures in the central analysis device in step c) is performed by algorithms that recognize clusters of operating parameters in practical applications and compare the clusters of operating parameters to existing pre-settings,
the analyzing of the transferred data collected from the plurality of the HF and/or US surgical procedures in the central analysis device in step c) is performed by algorithms that compare the measurement data to assumed optimum measurement data, and
the analyzing of the transferred data collected from the plurality of the HF and/or US surgical procedures in the central analysis device in step c) includes a statistical analysis, using machine learning, in which a neural network is trained based on training data to recognize favorable and unfavorable treatment progressions.
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