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:
Aug. 22, 2023

Filed:

Mar. 10, 2020
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Ruhan Sa, Monmouth Junction, NJ (US);

Birgi Tamersoy, Erlangen, DE;

Yao-jen Chang, Princeton, NJ (US);

Klaus Kirchberg, Plainsboro, NJ (US);

Vivek Singh, Princeton, NJ (US);

Ankur Kapoor, Plainsboro, NJ (US);

Andreas Wimmer, Forchheim, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/62 (2017.01); G06T 7/00 (2017.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06N 3/08 (2023.01); G06T 5/50 (2006.01); G06T 7/174 (2017.01); G06T 5/00 (2006.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01); G06V 40/70 (2022.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06T 7/62 (2017.01); G06N 3/08 (2013.01); G06T 5/002 (2013.01); G06T 5/50 (2013.01); G06T 7/0014 (2013.01); G06T 7/174 (2017.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 40/70 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G06N 3/04 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Patient biographic data may be estimated by receiving patient image data, applying the patient image data to a machine learned model, the machine learned model trained on second patient data and trained to map the second patient data to associated biographic data using machine learned features, generating the patient biographic data based on the applying and the machine learned features, and outputting the patient biographic data. The patient biographic data may include a patient weight, a patient height, a patient gender, and a patient age.


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