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. 15, 2023

Filed:

Jun. 21, 2019
Applicant:

Varian Medical Systems, Inc., Palo Alto, CA (US);

Inventors:

Charles Adelsheim, Mountain View, CA (US);

Corey Zankowski, Palo Alto, CA (US);

Petr Jordan, Emerald Hills, CA (US);

Assignee:

VARIAN MEDICAL SYSTEMS, INC., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61N 5/10 (2006.01); G06N 20/00 (2019.01); G06N 7/01 (2023.01); G06V 10/778 (2022.01);
U.S. Cl.
CPC ...
A61N 5/103 (2013.01); A61N 5/1031 (2013.01); A61N 5/1039 (2013.01); A61N 5/1075 (2013.01); A61N 5/1081 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06V 10/7784 (2022.01);
Abstract

Example methods and systems for quality-aware continuous learning for radiotherapy treatment planning are provided. One example method may comprise: obtaining an artificial intelligence (AI) engine that is trained to perform a radiotherapy treatment planning task. The method may also comprise: based on input data associated with a patient, performing the radiotherapy treatment planning task using the AI engine to generate output data associated with the patient; and obtaining modified output data that includes one or more modifications made by a treatment planner to the output data. The method may further comprise: performing quality evaluation based on (a) first quality indicator data associated with the modified output data, and/or (b) second quality indicator data associated with the treatment planner. In response to a decision to accept, a modified AI engine may be generated by re-training the AI engine based on the modified output data.


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