| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f8495ea8c7c7ec02e62dca78a326c259 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30056
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4244
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7275
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-742 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate |
2020-10-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_347c4d57a665e888892aeba4064e1bc4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_309c118af0cafef9795afe6998f3ce96
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3207d5eede960f3b2dc1997214e64e7a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7ce8d7cc0f00b4b949ae6335515bcb36
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_35f548fe591858e79b4a95dc55d1b08a |
| publicationDate |
2021-04-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2021121122-A1 |
| titleOfInvention |
Quantification of Liver Steatosis from a biopsy using a Computer Imaging Platform |
| abstract |
A method and (portable) device are provided for quantifying liver steatosis. The quantitative assessment of liver steatosis predicts whether a liver from the liver transplant donor is suitable for transplantation. Specifically, the quantitative assessment of liver steatosis predicts an associated risk for early allograft dysfunction. A biopsy image from a liver transplant donor is obtained from an automatic quantitative assessment of liver steatosis is made using a pre-trained artificial intelligence algorithm for identifying parameters of liver steatosis. The biopsy image is input to the pre-trained artificial intelligence algorithm. The quantitative assessment of liver steatosis is the output of the pre-trained artificial intelligence algorithm. Embodiments provide for rapidly diagnosing potential donor liver allografts at the time of procurement with a point-of-care device deployed with the transplant surgery team. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023129110-A3 |
| priorityDate |
2019-10-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |