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：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：US11963790B2

公开(公告)日：2024-04-23

申请号：US16952459

申请日：2020-11-19

Applicant: Merative US L.P.

Inventor： Arkadiusz Sitek ,  Mark D. Bronkalla ,  Larissa Christina Schudlo ,  Benedikt Graf ,  Yiting Xie

IPC: A61B5/00 ,  G06T7/00

CPC classification number: A61B5/4566 ,  G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30012

Abstract: An approach for a computer program to receive image data of a subject including at least a portion of a spine of the subject and a chronological age of the subject. The approach includes the computer program pre-processing the image data including at least a portion of a spine. The approach includes determining an apparent age of the spine or a portion of the spine of the subject using a trained artificial intelligence deep learning algorithm.

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.