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. 04, 2024

Filed:

Dec. 18, 2020
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Ahmet Tuysuzoglu, Jersey City, NJ (US);

Dorin Comaniciu, Princeton, NJ (US);

Tommaso Mansi, Plainsboro, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/00 (2006.01); G06F 16/25 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01); G16H 40/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 5/7267 (2013.01); G06F 16/258 (2019.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 50/30 (2018.01); G16H 40/20 (2018.01);
Abstract

Systems and methods for automatically determining an assessment of a patient are provided. A patient is automatically interacted with, by a first trained machine learning based model, to acquire initial patient data. One or more risk factors associated with the patient are automatically determined, by a second trained machine learning based model, based on the received initial patient data. The patient is automatically interacted with, by the first trained machine learning based model, to acquire additional patient data based on the one or more determined risk factors. An assessment of the patient is automatically determined, by the second trained machine learning based model, based on the initial patient data and the additional patient data. The assessment of the patient is output.


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