公开(公告)号：US12205290B2

公开(公告)日：2025-01-21

申请号：US17948311

申请日：2022-09-20

Applicant: MERATIVE US L.P.

Inventor： Mark D. Bronkalla ,  James Boritz ,  John Hansen

IPC: G06K9/00 ,  G06T7/00 ,  G16H30/20

Abstract: Systems and methods for selecting a prior comparison study. One system includes an electronic processor configured to, for a medical image study associated with a patient, select a prior comparison image study. The electronic processor is also configured to automatically determine, based on monitored user interaction with the selected prior comparison image study, a usefulness of the selected prior comparison image study. The electronic processor is also configured to automatically update a selection model based on the usefulness of the prior comparison image study to a user.

公开(公告)号：US12019661B2

公开(公告)日：2024-06-25

申请号：US18126698

申请日：2023-03-27

Applicant: Merative US L.P.

Inventor： Robert C. Sizemore ,  Jennifer L. La Rocca ,  Sterling R. Smith ,  Mario J. Lorenzo ,  Kristin E. McNeil ,  David B. Werts

IPC: G06F16/332 ,  G06F16/31 ,  G06F16/33 ,  G06F16/335 ,  G06F40/169 ,  G16H15/00

CPC classification number: G06F16/3329 ,  G06F16/328 ,  G06F16/3344 ,  G06F16/335 ,  G06F40/169 ,  G16H15/00

Abstract: A mechanism is provided in a data processing system to implement an annotator for annotating content using context-based surface forms. The mechanism receives a dictionary data structure of surface forms comprising a plurality of regular expressions and input content. The mechanism compares a given span of text in the input content to each regular expression in the dictionary data structure. Responsive to the given span of text matching a given regular expression, an annotator annotates the span of text with a content indicator corresponding to a content category associated with the dictionary data structure. The mechanism performs a natural language processing operation on the input content based on results of the annotation.

公开(公告)号：US11989878B2

公开(公告)日：2024-05-21

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 ,  G06N20/00 ,  G16H30/20 ,  G16H30/40 ,  G06N5/022

CPC classification number: G06T7/0012 ,  A61B5/0013 ,  G06N20/00 ,  G16H30/20 ,  G16H30/40 ,  A61B5/0044 ,  A61B2576/023 ,  G06N5/022 ,  G06T2207/30004

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：US11935636B2

公开(公告)日：2024-03-19

申请号：US16396259

申请日：2019-04-26

Applicant: MERATIVE US L.P.

Inventor： Mark D. Bronkalla ,  Yufan Guo ,  Weber Marett

IPC: G16H15/00 ,  G16H10/60 ,  G16H30/20 ,  G16H40/63 ,  G16H80/00

CPC classification number: G16H15/00 ,  G16H10/60 ,  G16H30/20 ,  G16H80/00 ,  G16H40/63

Abstract: Methods and systems of summarizing medical data. One system includes an electronic processor configured to analyze medical data to extract a medical concept and a plurality of additional attributes of the medical concept and store the medical concept and the plurality of additional attributes. The electronic processor is configured to generate a first medical summary associated with the patient, where the first medical summary is based on the stored medical concept and at least a first additional attribute included in the stored plurality of additional attributes. The electronic processor is configured to receive a user interaction with the first medical summary. The electronic processor is configured to generate a second medical summary associated with the patient based on the user interaction, the second medical summary is based on the stored medical concept and at least a second additional attribute included in the stored plurality of additional attributes.

公开(公告)号：US11922682B2

公开(公告)日：2024-03-05

申请号：US17221146

申请日：2021-04-02

Applicant: MERATIVE US L.P.

Inventor： Mehdi Moradi ,  Chun Lok Wong

IPC: G06V10/82 ,  G06F18/24 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N5/01 ,  G06N20/00 ,  G06N20/10 ,  G06N20/20 ,  G06T7/00 ,  G06V10/764 ,  G06V20/69 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70

CPC classification number: G06V10/82 ,  G06F18/24 ,  G06N3/045 ,  G06N3/08 ,  G06N20/00 ,  G06T7/0012 ,  G06T7/0014 ,  G06V10/764 ,  G06V20/69 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  G06N3/044 ,  G06N3/047 ,  G06N5/01 ,  G06N20/10 ,  G06N20/20 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06T2207/30048 ,  G06V2201/03

Abstract: Disease detection from medical images is provided. In various embodiments, a medical image of a patient is read. The medical image is provided to a trained anatomy segmentation network. A feature map is received from the trained anatomy segmentation network. The feature map indicates the location of at least one feature within the medical image. The feature map is provided to a trained classification network. The trained classification network was pre-trained on a plurality of feature map outputs of the segmentation network. A disease detection is received from the trained classification network. The disease detection indicating the presence or absence of a predetermined disease.

公开(公告)号：US11823775B2

公开(公告)日：2023-11-21

申请号：US17093267

申请日：2020-11-09

Applicant: Merative US L.P.

Inventor： Amin Katouzian

IPC: G16H10/60 ,  G06F16/13 ,  G16H50/70 ,  G16H70/60 ,  G06F40/30 ,  G06V30/414

CPC classification number: G16H10/60 ,  G06F16/137 ,  G06F40/30 ,  G16H50/70 ,  G16H70/60 ,  G06V30/414

Abstract: Provided is a method, computer program product, and system for hashing electronic health records. A processor may collect a set of electronic health records (EHRs). The processor may perform an encounter analysis on the set of EHRs to determine a set of attributes associated to the set of EHRs. The processor may hash the set of attributes to generate one or more hashing indexes that correspond to the set of EHRs. The processor may store the one or more hashing indexes in a list used for document retrieval.

公开(公告)号：US11764981B2

公开(公告)日：2023-09-19

申请号：US16817970

申请日：2020-03-13

Applicant: Merative US L.P.

Inventor： Ravithej Chikkala ,  Hamid Majdabadi ,  Su Liu ,  Manjunath Ravi

IPC: H04L9/34 ,  G16H10/60 ,  G16H40/67 ,  G16H80/00 ,  G06F16/23 ,  G06F21/62 ,  H04M3/51 ,  H04M11/06 ,  H04L9/32

CPC classification number: H04L9/34 ,  G06F16/2379 ,  G06F21/6227 ,  G16H10/60 ,  G16H40/67 ,  G16H80/00 ,  H04L9/3247 ,  H04M3/5158 ,  H04M3/5166 ,  H04M3/5183 ,  H04M11/062 ,  H04M2203/6009

Abstract: Sharing data by defining a data encoding table, maintaining a data record database, defining a data encryption code, providing the data encryption code with an outgoing call, receiving an audio response including encrypted data, decrypting the encrypted data, and updating the data record database according to the data.

公开(公告)号：US11748562B2

公开(公告)日：2023-09-05

申请号：US17851584

申请日：2022-06-28

Applicant: Merative US L.P.

Inventor： Robert C. Sizemore ,  David B. Werts ,  Sterling R. Smith

IPC: G06F40/205 ,  G06F40/14 ,  G06F40/279

CPC classification number: G06F40/205 ,  G06F40/14 ,  G06F40/279

Abstract: Mechanisms are provided to perform selective deep parsing of natural language content. A targeted deep parse natural language processing system is configured to recognize one or more triggers that specify elements within natural language content that indicate a portion of natural language content that is to be targeted with a deep parse operation. A portion of natural language content is received and a pre-deep parse scan operation is performed on the natural language content based on the one or more triggers to identify one or more sub-portions of the natural language content that contain at least one of the one or more triggers. A deep parse is performed on only the one or more sub-portions of the portion of natural language content that contain at least one of the one or more triggers, while other sub-portions of the portion of natural language content are not deep parsed.

公开(公告)号：US11734819B2

公开(公告)日：2023-08-22

申请号：US16934538

申请日：2020-07-21

Applicant: Merative US L.P.

Inventor： Aly Mohamed ,  Maria Victoria Sainz de Cea ,  David Richmond

IPC: G06T7/00 ,  G16H50/20 ,  G16H50/30 ,  G06F18/214

CPC classification number: G06T7/0012 ,  G06F18/214 ,  G16H50/20 ,  G16H50/30 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30068

Abstract: An AI system may receive an image. The AI system may include a first AI model trained using labeled training images including images from prior mammograms to predict cancer and a second AI model trained using labeled training images including images from current mammograms to classify mammogram images. The second AI model may be initialized using the weights of the first AI model using transfer learning. The AI system may receive a classification output indicating a likely current breast cancer diagnosis or a likelihood of the user to develop breast cancer in the future.

公开(公告)号：US20230186463A1

公开(公告)日：2023-06-15

申请号：US17546806

申请日：2021-12-09

Applicant: MERATIVE US L.P.

Inventor： Wen Wei ,  Giovanni John Jacques Palma ,  Amin Katouzian

IPC: G06T7/00 ,  G06T7/10 ,  G06V10/764 ,  G06V10/22 ,  G06N3/04

CPC classification number: G06T7/0012 ,  G06T7/10 ,  G06V10/764 ,  G06V10/22 ,  G06N3/0445 ,  G06T2207/30081 ,  G06T2207/10088 ,  G06T2207/20081

Abstract: Methods and systems of estimating b-values. One system including an electronic processor configured to receive a set of medical images associated with a patient, where the set of medical images are diffusion-weighted images. The electronic processor is also configured to extract a set of patches from each medical image included in the set of medical images. The electronic processor is also configured to determine, via an estimation model trained using machine learning, a set of estimated b-values, where each estimated b-value is associated with a patch included in the set of patches. The electronic processor is also configured to determine a b-value for each of the medical images included in the set of medical images, where the b-value is based on the set of estimated b-values.