http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020112532-A2

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filingDate 2019-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ef794e4c1416f86af2e5aba3ce98ca9c
publicationDate 2020-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2020112532-A2
titleOfInvention Data mining of dental images
abstract Data mining of a denial image Is described. In an example scenario, an aggregator service receives a dental image of a patient from, a dental image provider. The dental image is processed with a machine learning (ML) anatomy dataset- An anatomy from the ML anatomy dataset is identified and matched to the dental image. The dental image is next matched and identified with a ML pathology and treatment dataset, A pathology and a treatment from the ML pathology and treatment dataset are matched to the dental image. Next, the dental image and the anatomy, tire pathology, and the treatment associated with the dental image ate inserted to a patient dataset associated with the patient. A cluster analysis of the patient dataset is performed, with a duster dataset to produce a correlated dental image information. The correlated dental image information is provided vu a data mining entity and to compile a diagnostic aid for a user.
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