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1.发明授权公开(公告)号：US11361441B2
公开(公告)日：2022-06-14
申请号：US16618488
申请日：2018-01-04
Applicant: Vuno, Inc.
Inventor： Hyun-Jun Kim , Yeha Lee
Abstract: Provided are a method for determining whether an examinee is infected by microorganism, and a determination apparatus using the same. Specifically, the determination apparatus according to the present invention obtains an microphotographed image of a biological sample of the examinee; receives the obtained microphotographed image and generates analysis information on the microorganism based on a deep learning model of the examinee; visualize the generated analysis information to provide it, so as to perform at least one of (i) a process of supporting a remote reading on whether the microorganism corresponding to the analysis information exists or not, and (ii) a process of supporting a user of the computing apparatus to read whether the microorganism corresponding to the analysis information exists or not; and provides a final result as its result.
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公开(公告)号：US11980471B2
公开(公告)日：2024-05-14
申请号：US17330102
申请日：2021-05-25
Applicant: VUNO Inc.
Inventor： Oyeon Kwon , Woong Bae , Yeha Lee
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.
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Patent Agency Ranking
公开(公告)号：US10769779B2
公开(公告)日：2020-09-08
申请号：US15760803
申请日：2015-09-24
Applicant: Vuno, Inc.
Inventor： Sangki Kim , Hyun-Jun Kim , Kyuhwan Jung , Yeha Lee
Abstract: According to one embodiment, a method for increasing the reading efficiency of a medical image is provided. The method of increasing the reading efficiency of a medical image comprises of: receiving the gaze information of a user, acquiring a gaze tracking device, during a medical image reading process; determining a region of interest of the user with respect to the medical image by using the gaze information; determining a type of service corresponding to the region of interest; and providing the determined service.
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4.发明申请公开(公告)号：US20200273173A1
公开(公告)日：2020-08-27
申请号：US16618488
申请日：2018-01-04
Applicant: Vuno, Inc.
Inventor： Hyun-Jun Kim , Yeha Lee
Abstract: Provided are a method for determining whether an examinee is infected by microorganism, and a determination apparatus using the same. Specifically, the determination apparatus according to the present invention obtains an microphotographed image of a biological sample of the examinee; receives the obtained microphotographed image and generates analysis information on the microorganism based on a deep learning model of the examinee; visualize the generated analysis information to provide it, so as to perform at least one of (i) a process of supporting a remote reading on whether the microorganism corresponding to the analysis information exists or not, and (ii) a process of supporting a user of the computing apparatus to read whether the microorganism corresponding to the analysis information exists or not; and provides a final result as its result.
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公开(公告)号：US11735317B2
公开(公告)日：2023-08-22
申请号：US16638250
申请日：2018-08-07
Applicant: VUNO, INC. , HYEWON MEDICAL FOUNDATION
Inventor： Yeongnam Lee , Yeha Lee , Joonmyoung Kwon
CPC classification number: G16H40/63 , G06F18/217 , G06F18/241 , G06N3/084 , G06N20/10 , G06N20/20 , G16H50/30
Abstract: The present invention relates to a method for generating a prediction result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.
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公开(公告)号：US20190340751A1
公开(公告)日：2019-11-07
申请号：US15760803
申请日：2015-09-24
Applicant: Vuno, Inc.
Inventor： Sangki Kim , Hyun-Jun Kim , Kyuhwan Jung , Yeha Lee
Abstract: According to one embodiment, a method for increasing the reading efficiency of a medical image is provided. The method of increasing the reading efficiency of a medical image comprises of: receiving the gaze information of a user, acquiring a gaze tracking device, during a medical image reading process; determining a region of interest of the user with respect to the medical image by using the gaze information; determining a type of service corresponding to the region of interest; and providing the determined service.
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公开(公告)号：US10249042B2
公开(公告)日：2019-04-02
申请号：US15760829
申请日：2015-09-24
Applicant: Vuno, Inc.
Inventor： Kyuhwan Jung , Hyun-Jun Kim , Sangki Kim , Yeha Lee
Abstract: According to an embodiment, a method of providing a medical information service is provided. The method for providing a medical information service comprises the steps of: receiving a target image; extracting feature data of the target image; discovering a relative position of the feature data in a disease classification map in which a pre-trained reference image has been quantified; and providing a user with the disease classification map in which the relative position of the feature data has been discovered.
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