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Abstract

A theragnostic system includes a surgical station and a storage and processing device that contains data in a suitable storage in which patient data and treatment data, e.g. in form of electrical and optical features, are combined. The electrical features are derived from electrical parameters of the voltage and the current with which an instrument is supplied. The optical features are derived from light of the spark that is produced upon influencing the tissue. By combining electrical and optical features in a data collection, that even contains additional features, such as tissue features and patient characteristics, it can be determined whether the instrument influences benign or malign tissue. The prediction accuracy can be increased by machine learning by adding histological data to the data sets. These data can be collected in a cloud computing system that is connected with many surgical stations.

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First Claim