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:
Sep. 03, 2024

Filed:

Jun. 28, 2021
Applicant:

Siemens Healthineers International Ag, Steinhausen, CH;

Inventors:

Mikko Hakala, Rajamäki, FI;

Esa Kuusela, Espoo, FI;

Elena Czeizler, Helsinki, FI;

Shahab Basiri, Siuntio, FI;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 20/40 (2018.01); A61N 5/10 (2006.01); G06F 18/21 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G16H 20/40 (2018.01); A61N 5/1047 (2013.01); G06F 18/217 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01);
Abstract

Embodiments described herein provide for recommending radiotherapy treatment attributes. A machine learning model predicts the preference of a medical professional and provides relevant suggestions (or recommendations) of radiotherapy treatment attributes for various categories of radiotherapy treatment. Specifically, the machine learning model predicts field geometry attributes from various field geometry attribute options for various field geometry attribute categories. The machine learning model is conditioned on patient data such as medical images and patient information. The machine learning model is trained in response to cumulative reward information associated with a medical professional accepting the provided/displayed recommendations.


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