公开(公告)号：US20240412358A1

公开(公告)日：2024-12-12

申请号：US18702737

申请日：2022-10-19

Applicant: VUNO Inc.

Inventor： Kyungdoc KIM ,  Hongseok LEE ,  Chanmin PARK ,  Minwoo CHOO ,  Sangkeun KIM

IPC: G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/67

Abstract: Disclosed is a method for analyzing a medical image performed by a user terminal performed by a computing device. The method may include: determining a region of interest of a medical image based on a first user input on a user interface; transmitting identification information and contour information of the region of interest to a server, and receiving position information and staining information of a stained cell present in the region of interest from the server; distinguishing the cell present in the region of interest as positive or negative based on a threshold which is adjustable according to a second user input on the user interface by using the position information and the staining information of the stained cell present in the region of interest; and outputting analysis information generated based on the cell distinguished as positive or negative through the user interface.

公开(公告)号：US20240252091A1

公开(公告)日：2024-08-01

申请号：US18632087

申请日：2024-04-10

Applicant: VUNO Inc.

Inventor： Oyeon KWON ,  Woong BAE ,  Yeha LEE

IPC: A61B5/332 ,  A61B5/00 ,  A61B5/28

CPC classification number: A61B5/332 ,  A61B5/0006 ,  A61B5/28 ,  A61B5/7221

Abstract: Disclosed is a portable electrocardiogram measuring device for calculating one or more electrocardiogram leads according to an embodiment of the present disclosure. The device may include: a main measurement unit comprising a first electrode, a second electrode, and one or more processors; and a sub measurement unit comprising a third electrode, in which the one or more processors measure an electrocardiogram, by receiving electrical signals from at least two electrodes in a measurable state and by calculating different types of electrocardiogram leads based on the number of electrodes in the measurable state and an attachment position of electrodes.

公开(公告)号：US20240203566A1

公开(公告)日：2024-06-20

申请号：US18553186

申请日：2021-10-14

Applicant: VUNO Inc.

Inventor： Byung Mook KIM ,  Beomhee PARK ,  Jonghoon PARK

IPC: G16H30/40 ,  G06T5/40 ,  G06T7/90 ,  G06V10/25 ,  G06V10/46 ,  G06V10/56 ,  G06V10/60

CPC classification number: G16H30/40 ,  G06T5/40 ,  G06T7/90 ,  G06V10/25 ,  G06V10/46 ,  G06V10/56 ,  G06V10/60 ,  G06T2207/10024

Abstract: According to an exemplary embodiment of the present disclosure, a medical image processing method performed by a computing device is disclosed. The medical image processing method includes: detecting a region of interest in a medical image by using a pre-trained deep learning model; determining contour information for the region of interest; and generating, based on the contour information, format information defining elements that determine representation of the medical image.

公开(公告)号：US20240144474A1

公开(公告)日：2024-05-02

申请号：US18279823

申请日：2022-03-02

Applicant: VUNO Inc.

Inventor： Hyunho PARK ,  Gwangbeen PARK ,  Seungho LEE

IPC: G06T7/00 ,  G06V10/25 ,  G06V10/762 ,  G06V10/764 ,  G06V10/771 ,  G16H30/20 ,  G16H50/20

CPC classification number: G06T7/0012 ,  G06V10/25 ,  G06V10/762 ,  G06V10/764 ,  G06V10/771 ,  G16H30/20 ,  G16H50/20 ,  G06T2207/20084 ,  G06T2207/30064 ,  G06T2207/30096

Abstract: Disclosed is a method for analyzing a lesion based on a medical image performed by a computing device. The method may includes generating, by using a pre-processing module, an input image of a pre-trained detection module from the medical image. The method may include generating, by using the detection module, a probability value regarding a presence of a nodule in at least one region of interest and first location information about the at least one region of interest, based on the input image. The method may include determining, by using a post-processing module, second location information about a suspicious nodule present in the medical image from the first location information, based on the probability value regarding the presence of the nodule.

公开(公告)号：USD1025115S1

公开(公告)日：2024-04-30

申请号：US35516798

申请日：2022-04-05

Applicant: VUNO Inc.

Designer： Min Eok Chang ,  Ye Ha Lee ,  Eun Bi Koh

Abstract: The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.
1. Display panel with graphical user interface
1.0 : Front
The outermost broken line illustrates a display panel and forms no part of the claimed design. The dot-dash broken lines in the reproduction represent boundaries of the claimed design and form no part thereof. All other broken lines in the reproduction depict portions of the graphical user interface that form no part of the claimed design.

公开(公告)号：US20240062911A1

公开(公告)日：2024-02-22

申请号：US18355246

申请日：2023-07-19

Applicant: VUNO Inc.

Inventor： Sunghoon JOO ,  Mineok CHANG ,  Kyung Geun KIM ,  Sungjae LEE ,  Yeongyeon NA

IPC: G16H50/30 ,  G06N3/09 ,  G06N3/096 ,  G06N3/045

CPC classification number: G16H50/30 ,  G06N3/09 ,  G06N3/096 ,  G06N3/045

Abstract: An exemplary embodiment of the present disclosure discloses a method of estimating a heart age by using a pre-trained artificial neural network model. In particular, according to the present disclosure, a computing device obtains vital sign data of a user. The computing device estimates a heart age of the user based on the vital sign data of the user by using a pre-trained artificial neural network model. The pre-trained artificial neural network model corresponds to an artificial neural network model pre-trained based on information related to a heart disease.

公开(公告)号：US11771318B2

公开(公告)日：2023-10-03

申请号：US16759594

申请日：2018-07-18

Applicant: VUNO, INC. ,  SEOUL NATIONAL UNIVERSITY HOSPITAL

Inventor： Sang Jun Park ,  Joo Young Shin ,  Jae Min Son ,  Sang Keun Kim ,  Kyuhwan Jung ,  Hyun-Jun Kim

IPC: A61B3/12 ,  G06T7/11 ,  G06T7/70 ,  G16H50/50 ,  G16H50/20 ,  G16H30/40 ,  A61B3/14 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82

CPC classification number: A61B3/1225 ,  A61B3/12 ,  A61B3/14 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/70 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G16H50/50 ,  G06T2207/20084 ,  G06T2207/30041

Abstract: The present invention relates to a method for supporting reading of a fundus image of a subject, and a computing device using the same. Specifically, the computing device according to the present invention acquires the fundus image of the subject, extracts attribute information from the fundus image on the basis of a machine learning model for extracting the attribute information of the fundus image, and provides the extracted attribute information to an external entity. In addition, when evaluation information on the extracted attribute information or modification information on the attribute information is acquired, the computing device according to the present invention can also update the machine learning model on the basis of the acquired evaluation information or modification information.

公开(公告)号：US20220237780A1

公开(公告)日：2022-07-28

申请号：US17586286

申请日：2022-01-27

Applicant: VUNO Inc.

Inventor： Yeong Won KIM ,  Kyungdoc KIM ,  Hong Seok LEE ,  Jeonghyuk PARK

IPC: G06T7/00

Abstract: Disclosed is a method for detecting a serial section of a medical image, which is performed by a computing device. The method may include: detecting segments included in at least one tissue which exists in the medical image; estimating a number of tissue sections corresponding to the serial section and a distance between the segments based on the segments; and distinguishing tissue sections corresponding to the serial section based on the estimated number of tissue sections corresponding to a serial section and the distance between the segments.

公开(公告)号：US20220084681A1

公开(公告)日：2022-03-17

申请号：US17474059

申请日：2021-09-14

Applicant: VUNO INC.

Inventor： Kyungjae CHO ,  Yunseob SHIN ,  Woong BAE

IPC: G16H50/30 ,  G16H50/20 ,  G16H10/60 ,  G16H40/67 ,  G06N3/02 ,  G06N7/00

Abstract: A method of predicting a medical event based on a pre-trained artificial neural network by a computing apparatus, and an apparatus therefor are disclosed. The method includes receiving an electronic medical record vector including a plurality of vital sign components, and outputting the medical event corresponding to the electronic medical record vector using the acritical neural network. The artificial neural network is pre-trained based on learning data, and the learning data includes augmentation electronic medical record vectors which are reconstructed using original electronic medical record vectors pre-acquired at an earlier time point than a first time point based on a mask vector for losing at least one of the plurality of vital sign components of the first time point.

公开(公告)号：US20220084679A1

公开(公告)日：2022-03-17

申请号：US17464685

申请日：2021-09-02

Applicant: VUNO INC.

Inventor： Byeongtak LEE ,  Youngjae SONG ,  Woong BAE ,  Oyeon KWON

IPC: G16H50/20 ,  G06K9/00 ,  G06N20/00 ,  G16H50/70 ,  A61B5/353 ,  A61B5/355 ,  A61B5/366 ,  A61B5/36

Abstract: A deep neural network pre-training method for classifying electrocardiogram (ECG) data and a device for the same are disclosed. A method for training an ECG feature extraction model may include receiving a ECG signal, extracting one or more first features related to the ECG signal by inputting the ECG signal to a rule-based feature extractor or a neural network model, extracting at least one second feature corresponding to the at least one first feature by inputting the ECG signal to an encoder, and pre-training the ECG feature extraction model by inputting the at least one second feature into at least one of a regression function and a classification function to calculate at least one output value. The pre-training of the ECG feature extraction model may include training the encoder to minimize a loss function that is determined based on the at least one output value and the at least one first feature.