公开(公告)号：US11854197B2

公开(公告)日：2023-12-26

申请号：US17522196

申请日：2021-11-09

Applicant: Merative US L.P.

Inventor： Sun Young Park ,  Dustin Michael Sargent

IPC: G06T7/00 ,  G06T7/70 ,  G06N3/04 ,  A61B6/00 ,  A61B6/03

CPC classification number: G06T7/0012 ,  A61B6/032 ,  A61B6/504 ,  A61B6/5217 ,  G06N3/04 ,  G06T7/70 ,  G06T2207/10081 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06T2207/30196

Abstract: A computer system identifies a medical condition in a patient. A trained machine learning image generator is used to generate a set of training images based on three-dimensional patient imaging data, wherein each training image is labeled with a projection angle of the corresponding two-dimensional projection. Using the set of training images, a machine learning image classifier model is trained to identify patient rotation angles in x-ray images. X-ray images are processed with the machine learning image classifier model to identify patient rotation angles. A machine learning medical condition classifier model is trained to identify a medical condition using the labeled x-ray images. The machine learning medical condition classifier model determines an indication of the medical condition in a patient's x-ray image. Embodiments of the present invention further include a method and program product for identifying a medical condition in a patient in substantially the same manner described above.

公开(公告)号：US11791024B2

公开(公告)日：2023-10-17

申请号：US15412895

申请日：2017-01-23

Applicant: Merative US L.P.

Inventor： Corville O. Allen

IPC: G16H10/60 ,  G06F21/62

CPC classification number: G16H10/60 ,  G06F21/6245

Abstract: A mechanism is provided in a data processing system to implement localized device specific limitations on access to patient medical information. An authorizing device receives a request from a requestor device via a dose proximity communication protocol requesting to access an electronic medical record (EMR) associated with a patient. The authorizing device receives user input via a user interface specifying conditions for permitting access to the EMR. The authorizing device transmits an access authorization request to a patient registry system requesting the patient registry system to provide access to the EMR associated with the patient in accordance with the conditions for permitting access specified by the user input. The patient registry system generates a temporary access data structure based on the specified conditions. The patient registry system processes a subsequent request from the requestor device to access the EMR in accordance with the temporary access data structure.

公开(公告)号：US11769571B2

公开(公告)日：2023-09-26

申请号：US17126798

申请日：2020-12-18

Applicant: Merative US L.P.

Inventor： James S. Cox

IPC: G16H10/20 ,  G06F16/2458 ,  G06F16/33 ,  G16H10/60 ,  G16H40/20 ,  G06F40/30 ,  G06F40/279 ,  G16H70/20

CPC classification number: G16H10/20 ,  G06F16/2477 ,  G06F16/3344 ,  G06F40/279 ,  G06F40/30 ,  G16H10/60 ,  G16H40/20 ,  G16H70/20

Abstract: Mechanisms are provided for determining values to associate with medical conditions of a patient. A patient assessment is received that comprises a natural language question and a corresponding answer, about a patient, provided in response to the question. Cognitive natural language processing is performed on the patient assessment to extract features from the natural language question and corresponding answer. The extracted features are evaluated within a context of a pre-existing electronic medical record of the patient. A value for a medical condition of the patient is determined based on results of the evaluation and stored in the electronic medical record for the patient.

公开(公告)号：US11763931B2

公开(公告)日：2023-09-19

申请号：US16377944

申请日：2019-04-08

Applicant: MERATIVE US L.P.

Inventor： Alexandros Karargyris ,  Chun Lok Wong ,  Joy Wu ,  Mehdi Moradi

IPC: G06T7/00 ,  G16H30/40 ,  G06N20/00 ,  G16H15/00 ,  G06F40/169 ,  G06F18/24 ,  G06F18/21 ,  G06F18/214 ,  G06V10/774 ,  G06V10/776 ,  G06F40/30

CPC classification number: G16H30/40 ,  G06F18/217 ,  G06F18/2148 ,  G06F18/24 ,  G06F40/169 ,  G06N20/00 ,  G06T7/0012 ,  G06V10/774 ,  G06V10/776 ,  G16H15/00 ,  G06F40/30 ,  G06T2207/10116 ,  G06T2207/20081

Abstract: Methods and systems are directed to training an artificial intelligence engine. One system includes an electronic processor configured obtain a set of reports corresponding to a set of medical images, determine a label for a finding of interest, and identify one or more ambiguous reports in the set of repots. Ambiguous reports do not include a positive label or a negative label for the finding of interest. The electronic processor is also configured to generate an annotation for each of the one or more ambiguous reports in the set of reports, and train the artificial intelligence engine using a training set including the annotation for each of the one or more ambiguous reports and non-ambiguous reports in the set of reports. A result of the training is generation of a classification model for the label for the finding of interest.

公开(公告)号：US11741694B2

公开(公告)日：2023-08-29

申请号：US16897225

申请日：2020-06-09

Applicant: MERATIVE US L.P.

Inventor： Larissa Christina Schudlo

IPC: G06V10/82 ,  G06T7/00 ,  G16H30/40 ,  G06N3/02 ,  G06F18/22 ,  G06F18/243 ,  G06V20/50 ,  G06T7/70

CPC classification number: G06V10/82 ,  G06F18/22 ,  G06F18/243 ,  G06N3/02 ,  G06T7/0012 ,  G06T7/70 ,  G06V20/50 ,  G16H30/40 ,  G06T2207/10116 ,  G06T2207/20084 ,  G06T2207/30012

Abstract: Methods and systems for detecting a vertebral fracture within an x-ray. One method includes receiving a chest x-ray image and identifying a plurality of vertebrae represented in the chest x-ray image. The method further includes extracting a plurality of image patches from the chest x-ray image, each image patch of the plurality of image patches including a portion of the chest x-ray image representing one of the plurality of vertebrae identified in the chest x-ray image. The method further includes sequencing the plurality of image patches into an ordered sequence of image patches, and assigning, with a deep learning model applied to the ordered sequence of image patches, a classification to each of the plurality of image patches indicating whether the image patch represents a fractured vertebra or an unfractured vertebra.

公开(公告)号：US20230186465A1

公开(公告)日：2023-06-15

申请号：US17948302

申请日：2022-09-20

Applicant: MERATIVE US L.P.

Inventor： Mark D. Bronkalla ,  Grant Covell ,  Amanda Long ,  David Richmond

IPC: G06T7/00 ,  A61B5/00 ,  G16H30/20 ,  G16H30/40 ,  G06N20/00

CPC classification number: G06T7/0012 ,  A61B5/0013 ,  G16H30/20 ,  G16H30/40 ,  G06N20/00 ,  G06N5/022

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.

公开(公告)号：US20230162823A1

公开(公告)日：2023-05-25

申请号：US17455924

申请日：2021-11-22

Applicant: Merative US L.P.

Inventor： Paul R. Bastide ,  Robert E. Loredo ,  Matthew E. Broomhall ,  Fang Lu

IPC: G16H10/60

CPC classification number: G16H10/60

Abstract: A method, a computer program product, and a computer system retroactively update a record with a new code. The method includes determining the new code that is introduced into a medical coding system. The method includes determining a first patient having a first patient record including the new code. The method includes determining a correlation between the new code and an existing code. The existing code was available prior to the new code being introduced. The method includes determining a second patient having a second patient record including the existing code. The method includes determining whether the second patient is a candidate to have the second patient record retroactively updated with the new code based on a similarity analysis with the first patient. As a result of the second patient being confirmed the candidate, the method includes updating the second patient record with the new code.

公开(公告)号：US20230154612A1

公开(公告)日：2023-05-18

申请号：US17530435

申请日：2021-11-18

Applicant: MERATIVE US L.P.

Inventor： Dustin Michael Sargent ,  Michael Trambert ,  Lenward E. Holness, JR. ,  Dale Seegmiller Maudlin ,  Sun Young Park

IPC: G16H50/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/40

CPC classification number: G16H50/20 ,  G16H10/60 ,  G16H15/00 ,  G16H30/40

Abstract: A method and system is provided for radiology peer review feedback and learning using artificial intelligence. The system includes an electronic processor configured to: receive a set of medical imaging exams with reading physician data and at least one peer review score, train a machine learning algorithm to predict a review score from the medical imaging exam and reading physician data, use the trained machine learning algorithm to represent the medical imaging exam and the reading physician data, store a history of medical imaging exams for a reading physician, receive newly-reviewed medical imaging exam data for the reading physician having a feature vector, find similar medical imaging exams in the history of the medical imaging exams by comparing the feature vector of the newly-reviewed medical imaging exam data with the feature vectors for the medical imaging exams for the reading physician, and provide common review feedback to the reading physician.

公开(公告)号：US20230154592A1

公开(公告)日：2023-05-18

申请号：US17530434

申请日：2021-11-18

Applicant: MERATIVE US L.P.

Inventor： Dustin Michael Sargent ,  Michael Trambert ,  Lenward E. Holness, JR. ,  Dale Seegmiller Maudlin ,  Sun Young Park

IPC: G16H30/20 ,  G16H50/20 ,  G16H40/20

CPC classification number: G16H30/20 ,  G16H50/20 ,  G16H40/20

Abstract: A method and system is provided for optimizing radiology peer review exam selection using artificial intelligence. The system includes an electronic processor configured to: receive a set of candidate medical imaging exams with reading physician data, assign the medical imaging exams to at least one peer reviewer, receive peer reviewer data including scores and/or text for the assigned medical imaging exams, update a machine learning algorithm to optimize the assignment of medical imaging exams to the at least one peer reviewer using the received peer reviewer data.

公开(公告)号：US11610687B2

公开(公告)日：2023-03-21

申请号：US15257790

申请日：2016-09-06

Applicant: Merative US L.P.

Inventor： Mark Bronkalla

IPC: G16H50/70 ,  G16H50/20 ,  G16H10/60 ,  G06F16/00 ,  G16H10/20 ,  G16H30/40 ,  G16H10/40 ,  G06F40/30

Abstract: Automated peer review of medical imagery is provided. In some embodiments, at least one finding is determined for a present study. The present study has a subject anatomy. Based on the at least one finding and the subject anatomy, at least one prior study is selected. The at least one prior study has subject anatomy related to the subject anatomy of the present study and does not include the at least one finding. The at least one prior study is provided to a user for review with respect to the at least one finding.