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:
Jun. 10, 2025

Filed:

May. 05, 2021
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Frank Enders, Erlangen, DE;

Dorothea Roth, Nuremberg, DE;

Michael Schrapp, Munich, DE;

Matthias Senn, Uttenreuth, DE;

Michael Suehling, Erlangen, DE;

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01);
Abstract

A computer-implemented method for the further training of an artificial-intelligence evaluation algorithm that has already been trained based upon basic training data, wherein the evaluation algorithm ascertains output data describing evaluation results from input data comprising image data recorded with a respective medical imaging facility. In an embodiment, the method includes ascertaining at least one additional training data set containing training input data and training output data assigned thereto; and training the evaluation algorithm using the at least one additional training data set. The additional training data set is ascertained from the input data used during a clinical examination process with a medical imaging facility, which the already-trained evaluation algorithm was used, and output data of the already-trained evaluation algorithm that has been at least partially correctively modified by the user.


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