US 10,892,049 B2
Triage of patient medical condition based on cognitive classification of medical images
William Murray Stoval, III, Acton, MA (US); Marwan Sati, Mississauga (CA); Andjela Azabagic, Cambridge, MA (US); and Grant Covell, Belmont, MA (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Dec. 15, 2017, as Appl. No. 15/844,254.
Prior Publication US 2019/0189264 A1, Jun. 20, 2019
Int. Cl. G06K 9/00 (2006.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/70 (2018.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); A61B 5/055 (2006.01)
CPC G16H 30/20 (2018.01) [A61B 5/7267 (2013.01); G16H 30/40 (2018.01); G16H 50/70 (2018.01); A61B 5/0035 (2013.01); A61B 5/055 (2013.01); A61B 6/502 (2013.01); A61B 6/5205 (2013.01); G06T 7/0012 (2013.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01)] 14 Claims
OG exemplary drawing
 
1. A system for automatically triaging an image study of a patient generated as part of a medical imaging procedure, the system comprising:
a computing device including an electronic processor configured to
submit at least a portion of the image study to a cognitive system, the cognitive system configured to analyze the image study using a model developed using machine learning,
receive, from the cognitive system, a BI-RADS classification assigned to the image study using the model,
assign a severity classification to the image study, wherein the electronic processor is configured to assign the severity classification by comparing an image included in the image study with an image included in a prior image study for the patient, and
in response to at least one of the BI-RADS classification and the severity classification being associated with a first level of risk, automatically perform a first action; and
in response to at least one of the BI-RADS classification and the severity classification being associated with a second level or risk, automatically perform a second action.