Patent · US Active

Decision support system for medical therapy planning

US11961604B2 · kind B2 · utility

0Cited by

3References

18Claims

0Family size

Assignee

Siemens Healthineers AG · DE

Inventors

Ali Kamen · Skillman, US
Bin Lou · Princeton Junction, US

Key dates

Filing date	Jul 27, 2023
Grant date	Apr 16, 2024
Priority date	—
Expiry date	Jul 27, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. Deep learning may result in features more predictive of outcome than handcrafted features. More comprehensive learning may be provided by using multi-task learning where one of the tasks (e.g., segmentation, non-image data, and/or feature extraction) is unsupervised and/or draws on a greater number of training samples than available for outcome prediction alone.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.