IP Library Granted Patent US 11,989,878
Granted Patent B2
US 11,989,878 · App. 17/948,302 · Granted May 21, 2024

Enhancing medical imaging workflows using artificial intelligence

Inventors: Mark D. Bronkalla (Waukesha, WI); Grant Covell (Belmont, MA); Amanda Long (Acton, MA); David Richmond (Newton, MA)
Assignee: Merative US, L.P.
G06T7/0012A61B5/0013G06N20/00G16H30/20G16H30/40A61B5/0044A61B2576/023G06N5/022G06T2207/30004
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,989,878
App. No.
17/948,302
Granted
May 21, 2024
Kind
B2
Abstract

Systems and methods for selectively processing image studies with an artificial intelligence system. One system includes an electronic processor configured to select an image study awaiting review and update a workflow status of the image study to a first status indicating that the image study has been claimed for review by the artificial intelligence system. The electronic processor is also configured to apply at least one of the plurality of rules to the image study to determine whether the image study is applicable for processing by the artificial intelligence system, and, in response to determining the image study is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, update the workflow status associated with the image study to a second status to make the image study available for claiming by a manual reviewer or another artificial intelligence system.

Claims (44)

1. A system for selectively processing image studies with an artificial intelligence system, the system comprising:

a non-transitory computer-readable medium storing a plurality of rules, the plurality of rules related to an applicability of an image study for processing by the artificial intelligence system; and

an electronic processor configured to

access a plurality of image studies awaiting review;

select a first one of the plurality of image studies;

apply at least one of the plurality of rules to the selected first one of the plurality of image studies to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system, update a workflow status associated with the selected first one of the plurality of image studies to make the selected first one of the plurality of images studies available for claiming by a manual reviewer or another artificial intelligence system.

2. The system of claim 1 , wherein the electronic processor is further configured to:

select a second one of the plurality of image studies;

apply at least one of the plurality of rules to the selected second one of the plurality of image studies to determine whether the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, process the selected second one of the plurality of image studies with the artificial intelligence system.

3. The system of claim 2 , wherein the electronic processor is configured to process the selected second one of the plurality of image studies with the artificial intelligence system by adding the selected second one of the plurality of image studies to a queue of the artificial intelligence system.

4. The system of claim 1 , wherein the plurality of rules include at least one selected from a group consisting of an inclusion rule and an exclusion rule.

5. The system of claim 1 , wherein the plurality of rules includes at least one rule using a state of a queue of the artificial intelligence system to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system.

6. The system of claim 1 , wherein the plurality of rules includes at least one rule determining whether the selected first one of the plurality of images studies is normal to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system.

7. The system of claim 1 , wherein the plurality of rules includes at least one rule determining whether the selected first one of the plurality of images studies is associated with a predetermined imaging modality to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system.

8. The system of claim 1 , wherein the plurality of rules includes at least one rule determining whether the selected first one of the plurality of image studies includes at least a predetermined number of images or types of images to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system.

9. The system of claim 1 , wherein the plurality of rules includes at least one rule determining whether the selected first one of the plurality of image studies includes an image of a predetermined anatomical structure to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system.

10. A method for selectively processing image studies with an artificial intelligence system, the method comprising:

accessing a plurality of image studies awaiting review;

selecting a first one of the plurality of image studies;

applying, with an electronic processor, at least one of a plurality of rules to the selected first one of the plurality of image studies to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, updating a workflow status associated with the selected first one of the plurality of image studies to make the selected first one of the plurality of images studies available for claiming by a manual reviewer or another artificial intelligence system.

11. The method of claim 10 , further comprising:

selecting a second one of the plurality of image studies;

applying at least one of the plurality of rules to the selected second one of the plurality of image studies to determine whether the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, processing the selected second one of the plurality of image studies with the artificial intelligence system.

12. The method of claim 10 , further comprising returning, with the electronic processor, the selected first one of the plurality of image studies to a review pool for claiming by the manual reviewer or another artificial intelligence system when the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system.

13. The method of claim 10 , further comprising assigning, with the electronic processor, the selected first one of the plurality of image studies to the manual reviewer when the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system.

14. The method of claim 10 , wherein the selected first one of the plurality of image studies further is associated with an original reviewer.

15. The method of claim 14 , further comprising re-assigning, with the electronic processor, the selected first one of the plurality of image studies to the original reviewer when the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system.

16. The method of claim 10 , wherein the plurality of rules includes at least rule selected from a group consisting of rejecting image studies that include image artifacts, rejecting image studies when there are patient positioning errors in images, rejecting image studies when the artificial intelligence system is not trained to analyze images within the image studies, rejecting image studies when there is incomplete data or corrupted data, rejecting image studies when any images contain unrecognized anatomical bodies, and rejecting image studies when contrast was not used.

17. A non-transitory, computer-readable medium comprising instructions that, when executed by an electronic processor, perform a set of functions, the set of functions comprising:

accessing a plurality of image studies awaiting review;

selecting a first one of the plurality of image studies;

applying at least one of a plurality of rules to the selected first one of the plurality of image studies to determine whether the selected first one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected first one of the plurality of image studies is not applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, updating a workflow status associated with the selected first one of the plurality of image studies to make the selected first one of the plurality of images studies available for claiming by a manual reviewer or another artificial intelligence system.

18. The non-transitory, computer-readable medium of claim 17 , wherein the set of functions further comprises

assigning a value to a field associated with the selected first one of the plurality of image studies indicating a reasoning for the selected first one of the plurality of image studies not being applicable for processing by the artificial intelligence system.

19. The non-transitory, computer-readable medium of claim 17 , wherein the plurality of image studies only includes image studies that have not been reviewed or that are not currently under review by a manual reviewer or a separate artificial intelligence system.

20. The non-transitory, computer-readable medium of claim 17 , the set of functions further comprising:

selecting a second one of the plurality of image studies;

applying at least one of the plurality of rules to the selected second one of the plurality of image studies to determine whether the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system; and

in response to determining the selected second one of the plurality of image studies is applicable for processing by the artificial intelligence system based on the at least one of the plurality of rules, processing the selected second one of the plurality of image studies with the artificial intelligence system.

Assignments (3)
SECURITY INTEREST Recorded Oct 1, 2025
From: MERATIVE US L.P.; MERGE HEALTHCARE INCORPORATED
To: TCG SENIOR FUNDING L.L.C., AS COLLATERAL AGENT
Reel/Frame 072808/0442 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 14, 2023
From: BRONKALLA, MARK D.; COVELL, GRANT; LONG, AMANDA; RICHMOND, DAVID
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 064575/0924 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 14, 2023
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: MERATIVE US L.P.
Reel/Frame 064576/0060 →
Continuity (2)
Continuation 16168281 · Oct 23, 2018
Related Publication 20230186465A1 · Jun 15, 2023