Methods and apparatus for controlling treatment delivery using reinforcement learning
US11651848B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2020 |
| Grant date | May 16, 2023 |
| Priority date | — |
| Expiry date | Jul 30, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61N2005/1074
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Methods and systems are provided which relate to the planning and delivery of radiation treatments by modalities which involve moving a radiation source along a trajectory relative to a subject while delivering radiation to the subject. An artificial intelligence (AI) agent trained using reinforcement learning (and/or some other suitable form of machine learning) is used to control the radiation delivery parameters in effort to achieve desired delivery of radiation therapy. In some embodiments, the AI agent selects suitable control steps (e.g. radiation delivery parameters for particular time steps), while accounting for patient motions, difference(s) in patient anatomical geometry and/or the like.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.