US 12,216,620 B2
System and methods for massive data management and tagging
Khan Mohammad Siddiqui, Hinsdale, IL (US); Robert Bakos, Carol Stream, IL (US); Gerard M. Stegmaier, Culpepper, VA (US); Oliver Szu-Ping Chen, Woodside, CA (US); and Jack Cosgrove, Culpepper, VA (US)
Assigned to Intellix.AI Inc., Culpepper, VA (US)
Filed by Intellix.AI Inc., Culpepper, VA (US)
Filed on Feb. 24, 2022, as Appl. No. 17/680,191.
Claims priority of provisional application 63/154,436, filed on Feb. 26, 2021.
Prior Publication US 2022/0276985 A1, Sep. 1, 2022
Int. Cl. G06F 16/16 (2019.01); G16H 30/40 (2018.01)
CPC G06F 16/166 (2019.01) [G06F 16/162 (2019.01); G06F 16/168 (2019.01); G16H 30/40 (2018.01)] 22 Claims
OG exemplary drawing
 
1. A system for automated file linking, the system comprising:
at least one database server comprising stored data comprising a set of files, each of the files in the set of files comprising a digital file, at least some of the files comprising metadata; and
at least one physical server configured to:
create a sample set of files from the set of files;
identify common metadata between files in the sample set of files;
identify at least one link, wherein a link comprises the common metadata between files in the sample set of files;
identify files in the set of files, each of the identified files containing the link in their metadata;
generate an association between the files containing the link in their metadata;
store the association between the files containing the link in their metadata;
select at least one file from the set of files;
identify a DICOM tag associated with each of the at least one files, the tag comprising a key-value pair;
convert the DICOM tag into a single string;
generate a document model associated with the selected file, the document model comprising a field portion comprising a plurality of fields, each of which plurality of fields is configured to contain a string;
input the single string into one field of the plurality fields;
receive a search request for searching in set of file; and
search the document model based on the search request.