| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fd74383b011cbdd67a1f336f251d1de4 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V2201-03 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N99-005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-7796
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61N5-1039
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-80
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2193
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N99-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-80 |
| filingDate |
2018-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_512a4ca735e20453e55f772f0731915d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_38ac2e4785f9e1f8265a7faaa97cfac1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5ad19cfbc634ee0072c002ca76124a62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e5b04c1844ac6ad7768fbd9e7a3f9b27 |
| publicationDate |
2019-02-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2019051398-A1 |
| titleOfInvention |
Aggregation of artificial intelligence (ai) engines |
| abstract |
Example methods and systems for generating an aggregated artificial intelligence (AI) engine for radiotherapy treatment planning are provided. One example method may include obtaining multiple AI engines associated with respective multiple treatment planners; generating multiple sets of output data using the multiple AI engines associated with the respective multiple treatment planners: comparing the multiple AI engines associated with the respective multiple treatment planners based on the multiple sets of output data; and based on the comparison, aggregating at least some of the multiple AI engines to generate the aggregated AI engine for performing the particular treatment planning step. The multiple AI engines may be trained to perform a particular treatment planning step, and each of the multiple AI engines is trained to emulate one of the multiple treatment planners performing the particular treatment planning step. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020199836-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11431660-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109949905-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11011264-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10967200-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2020272862-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11210790-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111128340-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023041166-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11515025-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11714961-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11741699-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11748509-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020245306-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11410766-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022061324-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11020615-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019209864-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022088410-A1 |
| priorityDate |
2017-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |