Patent ID: 11922348
Assignee: ENLITIC, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  A  H  Y | IPC A  G  H

Claim 19:
20. A method comprising:
generating a plurality of training sets from a plurality of medical scans;
generating each of a set of sub-models by performing a training step on a corresponding one of the plurality of training sets of the plurality of medical scans, wherein a first one of the set of sub-models is trained to detect a first type of abnormality, and wherein a second one of the set of sub-models is trained to detect a second type of abnormality;
receiving a new medical scan;
generating a set of abnormality data by applying a subset of a set of inference functions on the new medical scan, wherein the subset of the set of inference functions utilize a subset of the set of sub-models, wherein each of the set of abnormality data is generated as output of performing one of the subset of the set of inference functions;
generating final abnormality data that includes a global probability indicating a probability that any abnormality is present based on the set of abnormality data; and
transmitting the final abnormality data for storage via a database storage system.