公开(公告)号：US20230237116A1

公开(公告)日：2023-07-27

申请号：US18152756

申请日：2023-01-10

Applicant: MERATIVE US L.P.

Inventor： Terence Wilson

IPC: G06F16/957 ,  G16H30/40 ,  G06F16/51 ,  G06F16/54 ,  G06F16/958

CPC classification number: G06F16/9574 ,  G06F16/51 ,  G06F16/54 ,  G06F16/986 ,  G06F16/9577 ,  G16H30/40

Abstract: Methods and systems for rending medical images within a web browser application. The web browser application retrieves a worklist and automatically determines an image study from the worklist to be cached. The web browser application retrieves at least one medical image included in the image study. The web browser application creates a web database for storing the at least one medical image within the browser application. When a user selects a medical image for display within the web browser, the web browser application determines whether the medical image is stored in the web database. When the medical image is stored in the web database, the web browser application retrieves the medical image from the web database. When the medical image is not stored in the web database, the web browser application retrieves the medical image from a remote image repository.

公开(公告)号：US20230214994A1

公开(公告)日：2023-07-06

申请号：US17569465

申请日：2022-01-05

Applicant: MERATIVE US L.P.

Inventor： Sun Young Park ,  Dustin Michael Sargent ,  Benedikt Graf ,  Larissa Christina Schudlo ,  Marwan Sati

IPC: G06T7/00 ,  G16H50/20 ,  G06F40/20 ,  G16H30/40

CPC classification number: G06T7/0012 ,  G16H50/20 ,  G06F40/20 ,  G16H30/40 ,  G06T2207/20081

Abstract: Methods and systems for assigning a medical image study for review. One method includes receiving a plurality of labeled medical image studies and one or more prior image studies of a patient associated with each of plurality of labeled medical image studies. The method also includes creating a set of training data including the plurality of labeled medical image studies and the one or more prior image studies received for each of the plurality of labeled medical image studies and training an artificial intelligence (AI) system using the set of training data. In addition, the method includes estimating, using the AI system as trained, a difficulty metric for an unlabeled medical image study based on the unlabeled medical image study and one or more prior image studies of a patient associated with the unlabeled image study and assigning the unlabeled medical image study for review based on the difficulty metric.

公开(公告)号：US11645833B2

公开(公告)日：2023-05-09

申请号：US17528566

申请日：2021-11-17

Applicant: MERATIVE US L.P.

Inventor： Ali Madani ,  Mehdi Moradi ,  Tanveer F. Syeda-Mahmood

IPC: G16H30/40 ,  G16H30/20 ,  G06T7/00 ,  A61B6/00 ,  G06N5/02 ,  G06N20/00 ,  G06N3/08 ,  G06N3/04 ,  G06K9/62 ,  G06N5/022 ,  G06N3/082

CPC classification number: G06K9/6259 ,  A61B6/5217 ,  G06K9/6267 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/0481 ,  G06N3/082 ,  G06N5/022 ,  G06N20/00 ,  G06T7/0014 ,  G16H30/20 ,  G16H30/40 ,  G06T2207/10116 ,  G06T2207/30048

Abstract: Mechanisms are provided to implement a machine learning training model. The machine learning training model trains an image generator of a generative adversarial network (GAN) to generate medical images approximating actual medical images. The machine learning training model augments a set of training medical images to include one or more generated medical images generated by the image generator of the GAN. The machine learning training model trains a machine learning model based on the augmented set of training medical images to identify anomalies in medical images. The trained machine learning model is applied to new medical image inputs to classify the medical images as having an anomaly or not.

公开(公告)号：US12300361B2

公开(公告)日：2025-05-13

申请号：US17540920

申请日：2021-12-02

Applicant: MERATIVE US L.P.

Inventor： Jon T. DeVries

IPC: G16H10/20 ,  G16H30/20 ,  G16H30/40 ,  G16Z99/00

Abstract: Systems and methods for managing at least one medical image that includes image data and metadata. One method includes generating, at a processor, a number of copies of the at least one medical image, wherein the number of copies is equal to a number of independent reviewers associated with the at least one medical image. Each of the copies includes the image data and the metadata. The method also includes modifying the metadata of each of the copies to include a unique identifier, and storing the copies to at least one image storage device.

公开(公告)号：US12164589B2

公开(公告)日：2024-12-10

申请号：US18152756

申请日：2023-01-10

Applicant: MERATIVE US L.P.

Inventor： Terence Wilson

IPC: G06F16/00 ,  G06F16/51 ,  G06F16/54 ,  G06F16/957 ,  G06F16/958 ,  G16H30/40

Abstract: Methods and systems for rending medical images within a web browser application. The web browser application retrieves a worklist and automatically determines an image study from the worklist to be cached. The web browser application retrieves at least one medical image included in the image study. The web browser application creates a web database for storing the at least one medical image within the browser application. When a user selects a medical image for display within the web browser, the web browser application determines whether the medical image is stored in the web database. When the medical image is stored in the web database, the web browser application retrieves the medical image from the web database. When the medical image is not stored in the web database, the web browser application retrieves the medical image from a remote image repository.

公开(公告)号：US12154679B2

公开(公告)日：2024-11-26

申请号：US17099040

申请日：2020-11-16

Applicant: Merative US L.P

Inventor： Ramani R. Routray ,  Bruce Light Hillsberg ,  Venkat K. Balagurusamy ,  Ashwin Dhinesh Kumar ,  Donna N Eng Dillenberger ,  Mark Dudman

IPC: B65D41/04 ,  A61J1/14 ,  G06T3/4076 ,  G16H10/60 ,  G16H20/10 ,  G16H30/20 ,  G16H30/40

Abstract: An approach for providing a cap with an embedded high-resolution lens and a sampling insert that is used during an authentication of a composition of a liquid in a container sealed by the cap. The cap has a top portion of a cap with an opening, a sampling insert inside the opening in the top portion of the cap, and a high-resolution lens inside an opening in the sampling insert.

公开(公告)号：US12033336B2

公开(公告)日：2024-07-09

申请号：US17402247

申请日：2021-08-13

Applicant: MERATIVE US L.P.

Inventor： Giovanni John Jacques Palma ,  Greg Padiasek

IPC: G06T7/33 ,  G06N20/00 ,  G06T7/13 ,  G16H30/40

CPC classification number: G06T7/33 ,  G06T7/13 ,  G16H30/40 ,  G06N20/00 ,  G06T2200/04 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/20132 ,  G06T2207/30056 ,  G06T2207/30096

Abstract: Systems and computer-implemented methods of performing image registration. One method includes receiving a first image and a second image acquired from a patient at different times and, in each of the first image and the second image, detecting an upper boundary of an imaged object in an image coordinate system and detecting a lower boundary of the imaged object in the image coordinate system. The method further includes, based on the upper boundary and the lower boundary of each of the first image and the second image, cropping and padding at least one of the first image and the second image to create an aligned first image and an aligned second image and executing a registration model on the aligned first image and the aligned second image to compute a deformation field between the aligned first image and the aligned second image.

公开(公告)号：US12014807B2

公开(公告)日：2024-06-18

申请号：US17643743

申请日：2021-12-10

Applicant: Merative US L.P.

Inventor： Larissa Christina Schudlo ,  Benedikt Graf ,  Marwan Sati

IPC: G16H15/00 ,  G16H40/60 ,  G16H50/20

CPC classification number: G16H15/00 ,  G16H40/60 ,  G16H50/20

Abstract: A method, computer system, and a computer program product for automated report generation is provided. The present invention may include receiving a plurality of patient images. The present invention may include retrieving relevant data based on an analysis of the plurality of patient images. The present invention may include providing the relevant data to a user, wherein the relevant data provided to the user is in accordance with a relevant medical guideline. The present invention may include monitoring data input to generate a tailored medical report.

公开(公告)号：US12014281B2

公开(公告)日：2024-06-18

申请号：US16952667

申请日：2020-11-19

Applicant: Merative US L.P.

Inventor： Elinor Dehan ,  Bhuvan Sharma ,  Claudia S. Huettner ,  Kirk Alan Beaty ,  Shang Xue ,  Himanshu Sharma

IPC: G06N3/126 ,  G16H10/20 ,  G16H10/40 ,  G16H15/00 ,  G16H50/70 ,  G16H70/60

CPC classification number: G06N3/126 ,  G16H10/20 ,  G16H10/40 ,  G16H15/00 ,  G16H50/70 ,  G16H70/60

Abstract: A mechanism is provided for processing electronic files to identify genetic variants of a gene. Evidence of one or more genetic variants of the gene and corresponding information is extracted from a corpus of information. Each genetic variant of the one or more genetic variants is classified based on whether the genetic variant is identified as being pathogenic. Genetic variant annotation is then performed to generate a summary.

公开(公告)号：US11900605B2

公开(公告)日：2024-02-13

申请号：US17490316

申请日：2021-09-30

Applicant: MERATIVE US L.P.

Inventor： Pedro Luis Esquinas Fernandez ,  Yi-Qing Wang ,  Giovanni John Jacques Palma

IPC: G06T7/00 ,  A61B6/03 ,  G06T7/30 ,  G06T7/13

CPC classification number: G06T7/0014 ,  A61B6/032 ,  G06T7/13 ,  G06T7/30 ,  G06T2207/10081 ,  G06T2207/20221 ,  G06T2207/30096

Abstract: Methods and systems are provided for detecting focal lesions in multi-phase or multi-sequence medical imaging studies of medical images. One system includes memory for storing medical images and an electronic processor. The electronic processor is configured to: detect native candidate lesions for first phase computer tomography (CT) scans, detect candidate lesions for second phase CT scans, and project the candidate lesions detected for the first phase CT scans and/or the second phase CT scans on a same common domain. Once the candidate lesions are registered together, the electronic processor performs a matching algorithm for each of the native candidate lesions of the first phase CT scans with the registered candidate lesions from the second phase CT scans to determine presence and contours of valid lesions for the medical images, and to discard candidate lesions that are not acceptable.