Patent · US Active

Radiation-induced toxicity and machine learning

US11980776B2 · kind B2 · utility

0Cited by

0References

17Claims

0Family size

Assignee

Siemens Healthineers AG · DE

Inventors

Ali Kamen · Skillman, US
Bin Lou · Princeton Junction, US
Fernando Vega · Erlangen, DE

Key dates

Filing date	Feb 3, 2022
Grant date	May 14, 2024
Priority date	—
Expiry date	Jan 30, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30096
WIPO fieldMedical technology
WIPO sectorInstruments

Abstract

Risks of radiation-induced toxicity associated with a radiotherapy treatment of a target region of a patient are predicted. Data associated with a region of interest comprising the target region is received. The received data includes a predefined dose map of the radiotherapy treatment and pre-radiotherapy-treatment imaging data of the region of interest. A trained machine-learning algorithm is applied to the received data. The trained machine-learning algorithm generates at least one toxicity indicator based on the received data. The at least one toxicity indicator is indicative of the risks of the radiation-induced toxicity.

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