The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 17, 2026

Filed:

Dec. 02, 2022
Applicant:

Erbe Elektromedizin Gmbh, Tuebingen, DE;

Inventors:

Alexander Neugebauer, Moessingen, DE;

Sascha Dammeier, Tuebingen, DE;

Assignee:

ERBE ELEKTROMEDIZIN GMBH, Tuebingen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 18/12 (2006.01); A61B 5/00 (2006.01); G16H 50/20 (2018.01); A61B 17/00 (2006.01); A61B 18/00 (2006.01);
U.S. Cl.
CPC ...
A61B 18/1206 (2013.01); A61B 5/0075 (2013.01); A61B 5/7221 (2013.01); G16H 50/20 (2018.01); A61B 2017/00061 (2013.01); A61B 2018/00642 (2013.01); A61B 2018/00648 (2013.01); A61B 2018/00875 (2013.01); A61B 2018/00904 (2013.01); A61B 2018/1213 (2013.01);
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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