US 12,136,481 B2
Medical imaging characteristic detection, workflows, and AI model management
Brian M Baker, Minnetonka, MN (US); Wade J. Steigauf, Bloomington, MN (US); Benjamin Strong, Tucson, AZ (US); Robert Harris, Maple Grove, MN (US); Jerry Lohr, Burnsville, MN (US); and Steven Towey, Eden Prairie, MN (US)
Assigned to Virtual Radiologic Corporation, Minneapolis, MN (US)
Filed by Virtual Radiologic Corporation, Minneapolis, MN (US)
Filed on Jun. 23, 2020, as Appl. No. 16/909,570.
Prior Publication US 2021/0398650 A1, Dec. 23, 2021
Int. Cl. G16H 30/20 (2018.01); A61B 6/00 (2006.01); G06N 3/08 (2023.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G16H 80/00 (2018.01)
CPC G16H 30/20 (2018.01) [A61B 6/52 (2013.01); A61B 6/5294 (2013.01); G06N 3/08 (2013.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G16H 80/00 (2018.01)] 25 Claims
OG exemplary drawing
 
1. A method of processing data in a medical evaluation workflow, performed with electronic operations executed with a processor of a computing device, the electronic operations comprising:
obtaining image data and non-image data associated with a medical imaging study for a human subject;
using at least one trained artificial intelligence (AI) model to analyze the image data, wherein the trained AI model is validated with a defined governance standard to identify at least one particular characteristic;
identifying the particular characteristic in the image data, based on output from the trained AI model, wherein the identified particular characteristic is not indicated by the non-image data; and
communicating the identified particular characteristic to a location associated with evaluation of the medical imaging study, wherein the identified particular characteristic controls at least one automated medical image data processing action at the location associated with evaluation.