Methods and systems for quality-aware continuous learning for radiotherapy treatment planning
US11724126B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 21, 2019 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Jan 24, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.