| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d419ab9fa4faa28e34c59324924a3254 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B34-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-2055
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-2051
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-2065
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-107
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-108
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2034-105
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2090-365 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B34-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B34-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B90-36
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B90-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B34-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B34-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2020-12-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36e6ce2dd91ce7bafcf5840aac121c2b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e0978f9893105f6052e3e965a6597bff
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3eecf72602324032cafafc8bc98c2485 |
| publicationDate |
2021-06-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021123651-A1 |
| titleOfInvention |
Method for automatically planning a trajectory for a medical intervention |
| abstract |
The invention relates to a method for automatically planning a trajectory to be followed during a medical intervention by a medical instrument (120) targeting an anatomy of interest (130) of a patient (110), said automatic planning method comprising the steps of: - acquiring at least one medical image of the anatomy of interest (130); - determining a target point (145) on the previously acquired image; - generating a set of trajectory planning parameters from the medical image of the anatomy of interest and the previously determined target point, the set of planning parameters comprising coordinates of an entry point on the medical image. The set of parameters is generated using a machine learning method of neural network type. The invention also relates to a guiding device (150) implementing the set of planning parameters obtained. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114757995-A |
| priorityDate |
2019-12-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |