http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022268576-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0e36a1364a1f2256c913a79828d1e4c9 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N2005-1041 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-103 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-1047 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61N5-10 |
| filingDate | 2022-06-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_137776a09b10c2fdb716def0ff3312ec http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_35783489f09dc7d824d7487c8f3af4d7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e8ad2c71986a0946c6a860740b0ea06f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_88c8fdebcdb4c3c88464c74a57f1e628 |
| publicationDate | 2022-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2022268576-A1 |
| titleOfInvention | Machine learning approach for solving beam angle optimization |
| abstract | Embodiments described herein provide for revising radiation therapy treatment plans, and in particular, revising beam angles used during radiation therapy treatment. A computer may receive a radiation therapy treatment plan based on a particular patient's diagnosis. The computer may use a machine learning model (520) to revise radiation therapy treatment parameters (510a) such as a beam angle indicating a direction of radiation into the patient. The machine learning model (520) may use reinforcement learning to optimize an initial beam angle from the radiation therapy treatment plan, revising the beam angle. The performance of the machine learning model (520) is measured against metrics including fulfilling dosimetric clinical goals. The machine learning model (520) may present (210) the revised beam angle for display to a medical professional, or transmit (206) the revised beam angle to downstream applications to further revise the radiation therapy treatment plan. |
| priorityDate | 2021-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID226407543 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3017 |
Total number of triples: 21.