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. 24, 2026

Filed:

Oct. 26, 2023
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Alexandru Constantin Serban, Constanta, RO;

Florin-Cristian Ghesu, Baiersdorf, DE;

Dominik Neumann, Erlangen, DE;

Venkatesh Narasimha Murthy, Hillsborough, NJ (US);

Bogdan Georgescu, Princeton, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/774 (2022.01); G06V 10/94 (2022.01); G06V 20/50 (2022.01); G16H 30/40 (2018.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06V 10/774 (2022.01); G06V 10/95 (2022.01); G06V 20/50 (2022.01); G06V 10/82 (2022.01); G06V 2201/031 (2022.01);
Abstract

Systems and methods for performing a medical imaging analysis task using a machine learning based model (e.g., a foundational model) are provided. One or more input medical images are received. One or more modality-specific expert subnetworks of the machine learning based model are selected for performing a first processing of the one or more input medical images. The first processing of the one or more input medical images is performed for performing a medical imaging analysis task using the one or more selected modality-specific expert subnetworks. Results of the first processing are merged into one or more sets of merged results. One or more cross-modality expert subnetworks of the machine learning based model are selected for performing a second processing of the one or more sets of merged results. The second processing of the one or more sets of merged results is performed for performing the medical imaging analysis task using the one or more selected cross-modality expert subnetworks. Results of the second processing are output.


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