http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112786194-A

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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H30-20
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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-36
filingDate 2021-01-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_61ee62575e0e122a9a5d331b2eedb94e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3d6ee2d25d87e1912bf9995f3d17f722
publicationDate 2021-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112786194-A
titleOfInvention Medical image diagnosis guide inspection system, method and equipment based on artificial intelligence
abstract The invention discloses a medical image diagnosis guide inspection system based on artificial intelligence, which comprises: the data resource module is used for creating and integrating medical image data resources such as a chronic disease knowledge map, an image map, image professional diagnosis data and the like; the matching module is used for constructing a matching model, inputting the case information into the matching model for matching, and obtaining a multi-path fusion coarse screening recall result set; the diagnosis guide module is used for extracting relevant characteristics of the patient service from the coarse screening recall result set as data corpora, sending the data corpora into the fine ranking model, and carrying out training and screening to obtain result sets such as popular science guide, knowledge and risk prediction; and the examination guiding module is used for extracting doctor service associated features from the rough-screening recall result set as data corpora, sending the data corpora into the fine-ranking model, training and screening to obtain examination guiding service result sets such as professional diagnosis and treatment schemes, diagnosis reminding and the like. The system can realize AI auxiliary recommendation and question-answer consultation aiming at medical image inspection items, treatment schemes, services and the like, and can assist patient self-examination and doctor diagnosis.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113407841-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115905960-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115995287-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115036034-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113327691-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115036034-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113327691-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113851219-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114817505-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114822826-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114550915-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115062165-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114628012-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114628012-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115995287-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113963234-A
priorityDate 2021-01-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 36.