IP Library Patent Application 18362924
Patent Application
App. No. 18/362,924

ORCHESTRATOR ENGINE TO PROVIDE CONTEXT DRIVEN WORKFLOW OF RADIOLOGY IMAGES AND PATIENT DATA TO ARTIFICIAL INTELLIGENCE ENGINES FOR FURTHER PROCESSING

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Patent No.
US None
App. No.
18/362,924
Abstract

Provided are a computer program product, system, and method for an orchestrator engine to provide context driven workflow of radiology images and patient data to artificial intelligence engines for further processing. An orchestrator engine, providing context driven workflow, processes the patient information to determine an artificial intelligence program of a plurality of artificial intelligence programs to process the medical image. The artificial intelligence program processes the medical image and the patient data to provide a structured result as output. The structured result with the patient information is forwarded to the radiologist to evaluate the medical image.

Claims (46)

1 . A computer program product for processing patient information, including a medical image for a patient and patient data, to provide to a radiologist, the computer program product comprising a computer readable storage medium having computer readable program code embodied therein that is executable to perform operations, the operations comprising:

processing, by an orchestrator engine providing context driven workflow, the patient information to determine an artificial intelligence program of a plurality of artificial intelligence programs to process the medical image;

processing, by the artificial intelligence program, the medical image and the patient data to provide a structured result as output; and

forwarding the structured result with the patient information to the radiologist to evaluate the medical image.

2 . The computer program product of claim 1 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

processing information on the medical image to determine a medical condition to evaluate in the medical image, wherein the determined artificial intelligence program is indicated as optimized to evaluate medical images for the determined medical condition of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to evaluate different medical conditions presented in medical images.

3 . The computer program product of claim 1 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

determining a characteristic of a methodology of the scan, wherein the determined artificial intelligence program is optimized to process medical images generated according to the determined characteristic of the methodology of the scan by a scanner to generate the structured result of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to process medical images generated according to different characteristics of the methodology of the scan.

4 . The computer program product of claim 3 , wherein the different characteristics of the methodology of the scan performed by a scanner concern at least one of characteristics of software used, scanner types, versions of the scanner, quality of the scan, contrast timing of the scan, and scanning protocols.

5 . The computer program product of claim 1 , wherein the artificial intelligence program processes the medical image to reconstruct raw data from the medical image to denoise a low quality image to produce an image at a quality level appropriate for interpretation.

6 . The computer program product of claim 1 , wherein the artificial intelligence program processes the medical image and patient data to determine whether there is high patient risk or low patient risk, wherein the artificial intelligence program is trained to provide a high risk recommendation in the structured result if high patient risk is determined and to include a low risk recommendation in the structured result if low patient risk is determined.

7 . The computer program product of claim 1 , wherein the artificial intelligence program processes the medical image and patient data to determine whether there is a high confidence level of a negative finding in the medical image, wherein the structured result indicates the medical image as associated with a negative finding to alert the radiologist in response to determining there is the high confidence level of the negative finding.

8 . The computer program product of claim 1 , wherein the artificial intelligence program uses computer vision to determine a body part shown in the medical image, wherein the structured result includes information on the body part shown in the medical image.

9 . The computer program product of claim 1 , wherein the patient data and medical image are supplemented with structured information, including labels and metadata, and wherein the orchestrator engine processes the structured information to determine the artificial intelligence program.

10 . The computer program product of claim 1 , wherein the patient data and medical image are supplemented with structured information, including labels and metadata, wherein the orchestrator engine further performs:

processing the structured information of the patient data and the medical image to determine whether the patient information should not be sent to one of the artificial intelligence programs; and

forwarding the patient information to the radiologist without sending to one of the artificial intelligence programs in response to determining that the patient information should not be sent to one of the artificial intelligence programs.

11 . The computer program product of claim 1 , the structured result from the artificial intelligence program indicates whether the medical image is of a low quality or a high quality, wherein the orchestrator engine further performs:

determining whether the structured result indicates the medical image is of a low quality; and

in response to determining that the medical image is of the low quality, forwarding a request to a radiology technician that the medical image has low quality and requesting the radiology technician to acquire a high quality medical image for the patient.

12 . The computer program product of claim 1 , the structured result from the artificial intelligence program indicates whether the medical image is of a low quality or a high quality, wherein the orchestrator engine further performs:

determining whether the structured result indicates the medical image is of a low quality; and

in response to determining that the medical image is of the low quality, indicating to the radiologist receiving the patient information that the medical image is of a low quality.

13 . The computer program product of claim 1 , wherein the artificial intelligence program comprises a first artificial intelligence program, wherein the structured result comprises a first structured result, wherein the orchestrator engine further performs:

processing the first structured result to determine to forward the medical image and the patient data to a second artificial intelligence program; and

forwarding the medical image and the patient data to the second artificial intelligence program to output a second structured result to provide to the radiologist, wherein the first and the second structured results are maintained with the patient information to forward to the radiologist.

14 . A system for processing patient information, including a medical image for a patient and patient data, to provide to a radiologist, comprising:

a plurality of artificial intelligence programs to process a medical image;

an orchestrator engine, providing a context driven workflow, to process the patient information to determine an artificial intelligence program of a plurality of artificial intelligence programs to process the medical image;

wherein the artificial intelligence program processes the medical image and the patient data to provide a structured result as output; and

wherein the orchestration engine forwards the structured result with the patient information to the radiologist to evaluate the medical image.

15 . The system of claim 14 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

processing information on the medical image to determine a medical condition to evaluate in the medical image, wherein the determined artificial intelligence program is indicated as optimized to evaluate medical images for the determined medical condition of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to evaluate different medical conditions presented in medical images.

16 . The system of claim 14 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

determining a characteristic of a methodology of the scan, wherein the determined artificial intelligence program is optimized to process medical images generated according to the determined characteristic of the methodology of the scan by a scanner to generate the structured result of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to process medical images generated according to different characteristics of the methodology of the scan.

17 . The system of claim 14 , wherein the patient data and medical image are supplemented with structured information, including labels and metadata, wherein the orchestrator engine further performs:

processing the structured information of the patient data and the medical image to determine whether the patient information should not be sent to one of the artificial intelligence programs; and

forwarding the patient information to the radiologist without sending to one of the artificial intelligence programs in response to determining that the patient information should not be sent to one of the artificial intelligence programs.

18 . A computer implemented method for processing patient information, including a medical image for a patient and patient data, to provide to a radiologist, comprising:

processing, by an orchestrator engine providing context driven workflow, the patient information to determine an artificial intelligence program of a plurality of artificial intelligence programs to process the medical image;

processing, by the artificial intelligence program, the medical image and the patient data to provide a structured result as output; and

forwarding the structured result with the patient information to the radiologist to evaluate the medical image.

19 . The computer implemented method of claim 18 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

processing information on the medical image to determine a medical condition to evaluate in the medical image, wherein the determined artificial intelligence program is indicated as optimized to evaluate medical images for the determined medical condition of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to evaluate different medical conditions presented in medical images.

20 . The computer implemented method of claim 18 , wherein the medical image is a result of a scan of a portion of a body of the patient, wherein the processing the patient information to determine the artificial intelligence program further comprises:

determining a characteristic of a methodology of the scan, wherein the determined artificial intelligence program is optimized to process medical images generated according to the determined characteristic of the methodology of the scan by a scanner to generate the structured result of a plurality of artificial intelligence programs, wherein the plurality of the artificial intelligence programs are optimized to process medical images generated according to different characteristics of the methodology of the scan.

Assignments (8)
SECURITY AGREEMENT (NOTES) Recorded Jul 1, 2025
From: VIRTUAL RADIOLOGIC CORPORATION; RADIOLOGY PARTNERS, INC.
To: WILMINGTON TRUST, NATIONAL ASSOCIATION, AS NOTES COLLATERAL AGENT
Reel/Frame 071781/0802 →
RELEASE OF SECURITY INTEREST Recorded Jul 1, 2025
From: WILMINGTON TRUST, NATIONAL ASSOCIATION
To: RADIOLOGY PARTNERS, INC.; VIRTUAL RADIOLOGIC CORPORATION
Reel/Frame 071575/0916 →
RELEASE (REEL 066660 / FRAME 0573) Recorded Jul 1, 2025
From: BARCLAYS BANK PLC
To: VIRTUAL RADIOLOGIC CORPORATION; RADIOLOGY PARTNERS, INC.
Reel/Frame 071781/0746 →
SECURITY AGREEMENT (FIRST LIEN) Recorded Jul 1, 2025
From: VIRTUAL RADIOLOGIC CORPORATION; RADIOLOGY PARTNERS, INC.
To: BARCLAYS BANK PLC, AS AGENT
Reel/Frame 071781/0790 →
SECURITY INTEREST Recorded Feb 26, 2024
From: RADIOLOGY PARTNERS, INC.; VIRTUAL RADIOLOGIC CORPORATION
To: WILMINGTON TRUST, NATIONAL ASSOCIATION
Reel/Frame 066564/0185 →
SECURITY INTEREST Recorded Feb 26, 2024
From: RADIOLOGY PARTNERS, INC.; VIRTUAL RADIOLOGIC CORPORATION
To: WILMINGTON TRUST, NATIONAL ASSOCIATION
Reel/Frame 066564/0242 →
SECURITY AGREEMENT (FIRST LIEN) Recorded Feb 22, 2024
From: RADIOLOGY PARTNERS, INC.; VIRTUAL RADIOLOGIC CORPORATION
To: BARCLAYS BANK PLC, AS AGENT
Reel/Frame 066660/0573 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 10, 2023
From: KOTTLER, NINA; TOBIAS, THOMAS N.
To: RADIOLOGY PARTNERS, INC.
Reel/Frame 065527/0521 →