IP Library Granted Patent US 11,475,989
Granted Patent B2
US 11,475,989 · App. 17/399,571 · Granted Oct 18, 2022

Systems and methods to process electronic images to provide automated routing of data

Inventors: Jeremy Daniel Kunz (New York, NY); Christopher Kanan (Rochester, NY); Patricia Raciti (New York, NY); Matthew G. Hanna (New York, NY)
Assignee: PAIGE.AI, Inc.
G16H30/00G06F16/245G06N20/00G16H10/60G16H15/00G16H50/20
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Quick Facts
Patent No.
US 11,475,989
App. No.
17/399,571
Granted
Oct 18, 2022
Kind
B2
Abstract

Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

Claims (47)

1. A computer-implemented method for providing automated routing of medical data, the method comprising:

determining at least one rule corresponding to at least one condition and at least one receiver;

receiving medical data and associated medical metadata;

determining a quality score for the medical data and the associated medical metadata, the medical data comprising at least one image, the quality score identifying quality control issues in the medical data and the associated medical metadata that affect the usability of the medical data and the associated medical metadata for making a diagnosis;

outputting a prediction of the diagnosis from artificial intelligence processing;

determining, after outputting the prediction of the diagnosis, whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule based at least in part on the quality score, the at least one condition comprising output from the artificial intelligence processing related to the artificial intelligence processing being unable to make the diagnosis on the medical data and the associated medical metadata with a level of confidence, the level of confidence being based at least in part on the quality score; and

upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

2. The computer-implemented method of claim 1 , further comprising:

receiving, in response to the providing, a report from the at least one receiver of the at least one rule.

3. The computer-implemented method of claim 1 , wherein the associated artificial intelligence processing comprises an artificial intelligence based assessment of the medical data.

4. The computer-implemented method of claim 3 , further comprising:

upon the artificial intelligence based assessment of the medical data determining that it cannot accurately diagnose the medical data, providing the medical data to at least one expert.

5. The computer-implemented method of claim 3 , wherein the associated artificial intelligence processing provides the medical data to at least one expert in response to detecting a lack of expertise in the originating institution.

6. The computer-implemented method of claim 1 , wherein the at least one image comprises at least one whole slide image and/or at least one static image, and wherein the medical data further comprises at least one patient medical record, at least one physician note, at least one radiological scan, at least one dental note, and/or at least one lab result.

7. The computer-implemented method of claim 1 , wherein the at least one condition further comprises at least one disease type, at least one tissue type, at least one location of a sample, and/or at least one physician assigned to review the medical data at the originating institution.

8. The computer-implemented method of claim 1 , wherein the associated medical metadata comprises at least one medical disease type, at least one medical tissue type, at least one medical location of a sample, and/or at least one medical physician assigned to review the medical data.

9. A computer system for providing automated routing of medical data, the computer system comprising:

at least one memory storing instructions; and

at least one processor configured to execute the instructions to perform operations comprising:

access the at least one memory and execute processor-readable instructions, which when executed by the at least one processor configures the at least one processor to perform a plurality of functions, including functions for:

determining at least one rule corresponding to at least one condition and at least one receiver;

receiving medical data and associated medical metadata;

determining a quality score for the medical data and the associated medical metadata, the medical data comprising at least one image, the quality score identifying quality control issues in the medical data and the associated medical metadata that affect usability of the medical data and the associated medical metadata for making a diagnosis;

output a prediction of the diagnosis from artificial intelligence processing;

determining, after outputting the prediction of the diagnosis, whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule based at least in part on the quality score, the at least one condition comprising output from the artificial intelligence processing related to the artificial intelligence processing being unable to make the diagnosis on the medical data and the associated medical metadata with a level of confidence, the level of confidence being based at least in part on the quality score; and

upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

10. The computer system of claim 9 , the operations further comprising:

receiving, in response to the providing, a report from the at least one receiver of the at least one rule.

11. The computer system of claim 9 , wherein the associated artificial intelligence processing comprises an artificial intelligence based assessment of the medical data.

12. The computer system of claim 11 , further comprising:

upon the artificial intelligence based assessment of the medical data determining that it cannot accurately diagnose the medical data, providing the medical data to at least one expert.

13. The computer system of claim 11 , wherein the associated artificial intelligence processing provides the medical data to at least one expert in response to detecting a lack of expertise in the originating institution.

14. The computer system of claim 9 , wherein the at least one condition further comprises at least one disease type, at least one tissue type, at least one location of a sample, and/or at least one physician assigned to review the medical data at the originating institution.

15. The computer system of claim 9 , wherein the associated medical metadata comprises at least one medical disease type, at least one medical tissue type, at least one medical location of a sample, and/or at least one medical physician assigned to review the medical data.

16. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform operations for providing automated routing of medical data, the operations comprising:

determining at least one rule corresponding to at least one condition and at least one receiver;

receiving medical data and associated medical metadata;

determining a quality score for the medical data and the associated medical metadata, the medical data comprising at least one image, the quality score identifying quality control issues in the medical data and the associated medical metadata that affect usability of the medical data and the associated medical metadata for making a diagnosis;

outputting a prediction of the diagnosis from artificial intelligence processing;

determining, after outputting the prediction of the diagnosis, whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule based at least in part on the quality score, the at least one condition comprising output from the artificial intelligence processing related to the artificial intelligence processing being unable to make the diagnosis on the medical data and the associated medical metadata with a level of confidence, the level of confidence being based at least in part on the quality score; and

upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.

17. The non-transitory computer-readable medium of claim 16 , further comprising:

receiving, in response to the providing, a report from the at least one receiver of the at least one rule.

18. The non-transitory computer-readable medium of claim 16 , wherein the associated artificial intelligence processing comprises an artificial intelligence based assessment of the medical data.

19. The non-transitory computer-readable medium of claim 18 , further comprising:

upon the artificial intelligence based assessment of the medical data determining that it cannot accurately diagnose the medical data, providing the medical data to at least one expert.

20. The non-transitory computer-readable medium of claim 18 , wherein the associated artificial intelligence processing provides the medical data to at least one expert in response to detecting a lack of expertise in the originating institution.

Assignments (3)
RELEASE OF SECURITY INTEREST Recorded May 14, 2026
From: ARES CAPITAL CORPORATION, AS COLLATERAL AGENT
To: PAIGE.AI, INC.
Reel/Frame 075589/0752 →
SECURITY INTEREST Recorded Oct 21, 2025
From: PAIGE.AI, INC.
To: ARES CAPITAL CORPORATION, AS COLLATERAL AGENT
Reel/Frame 073216/0876 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 30, 2021
From: KUNZ, JEREMY DANIEL; KANAN, CHRISTOPHER; RACITI, PATRICIA
To: PAIGE.AI, INC.
Reel/Frame 058245/0061 →
Continuity (2)
Provisional Application 63064714 · Aug 12, 2020
Related Publication 20220051783A1 · Feb 17, 2022