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公开(公告)号：EP4390766A3
公开(公告)日：2024-09-11
申请号：EP24167514.9
申请日：2019-09-20
申请人： Brainlab AG
发明人： LE, Kim , MEURER, Yannic , DREXL, Thomas , FEILKAS, Thomas
摘要： Disclosed is a computer-implemented method of training a likelihood-based computational model for determining the position of an image representation of an annotated anatomical structure in a two-dimensional x-ray image, wherein the method encompasses inputting medical DRRs together with annotation to a machine learning algorithm to train the algorithm, i.e. to generate adapted learnable parameters of the machine learning model. The annotations may be derived from metadata associated with the DRRs or may be included in atlas data which is matched with the DRRs to establish a relation between the annotations included in the atlas data and the DRRs. The thus generated machine learning algorithm may then be used to analyse clinical or synthesized DRRs so as to appropriately add annotations to those DRRs and/or identify the position of an anatomical structure in those DRRs.
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公开(公告)号：EP4385397A3
公开(公告)日：2024-09-04
申请号：EP24164315.4
申请日：2019-12-30
申请人： Healthy.io Ltd.
IPC分类号： A61B5/00 , G01N21/78 , A61B5/02 , A61B5/103 , A61B5/145 , G01N21/27 , G01N33/483 , G01N33/487 , G01N33/493 , G06Q20/14 , G06Q40/08 , G16H30/40 , H04L67/12 , G01N33/52 , G16H10/40 , G16H70/00
CPC分类号： G01N33/4833 , G01N33/493 , G06Q40/08 , G01N33/48778 , G01N33/52 , G01N21/78 , A61B5/1034 , A61B5/445 , A61B5/14507 , A61B5/0013 , A61B5/02042 , A61B5/7405 , A61B5/744 , A61B5/7455 , G16H30/40 , G16H70/00 , G16H10/40 , G06Q20/14 , H04L67/12 , G01N21/272 , G01N21/274
摘要： A system for updating an electronic medical record based on patient-captured image data is provided. The system includes at least one processor configured to access a record of a verification code associated with a home testing kit sent to a patient, receive a captured medical image of the patient via a wireless network, analyze the medical image to determine an insufficiency of the image for medical examination, send at least one message indicative of the insufficiency of the image, wherein the at least one message includes a guidance to capture a new image, wirelessly receive the new image from the patient along with the verification code, use the verification code to verify that the new image was received from the patient, and upon verification, automatically send a notification to a healthcare provider for updating an electronic medical record of the patient with data associated with the new image.
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公开(公告)号：EP4421819A1
公开(公告)日：2024-08-28
申请号：EP22883667.2
申请日：2022-10-21
摘要： A therapeutic device (1) estimates an outer shape of a target (30) using an identifier (61) that performed learning based on a first image (23) capturing in vivo information of a subject, a second image (30) showing the target (63) in vivo, and a third image capturing the same subject using a different device from that used to capture the first image (23). In a configuration in which the shape of a target object site is learned using a DRR image processed from a CT image, the therapeutic device (1) can accurately estimate the shape of the target object site.
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公开(公告)号：EP4420134A1
公开(公告)日：2024-08-28
申请号：EP22808658.3
申请日：2022-10-19
申请人： 3Shape A/S
发明人： LAURSEN, Nina Pytter , KJÆR-NIELSEN, Anders , SIMONSEN, Jesper , CLAUSEN, Tais , HEDEGAARD, Thomas , HANSEN, Eskild
CPC分类号： G16H30/40 , G16H40/63 , G06Q10/0633 , G16H20/40 , G16H70/20 , G06Q10/0631
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公开(公告)号：EP4420079A1
公开(公告)日：2024-08-28
申请号：EP22882134.4
申请日：2022-10-18
申请人： Université Laval
发明人： Dadar, Mahsa , Duchesne, Simon
CPC分类号： A61B5/055 , G16H30/40 , G16H50/20 , G16H50/70 , G16H20/10 , G06T7/0012 , G06T2207/2008120130101 , G06T2207/2008420130101 , G06T2207/3001620130101 , G06V2201/03120220101 , G06F18/241 , A61B5/02042 , A61B5/4088 , A61B5/7264 , A61B5/0042
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公开(公告)号：EP3944253B1
公开(公告)日：2024-08-28
申请号：EP21186575.3
申请日：2021-07-20
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公开(公告)号：EP4418278A1
公开(公告)日：2024-08-21
申请号：EP22881399.4
申请日：2022-10-14
发明人： PARK, Hyeokgon , LEE, Sangran , HWANG, Joongwon , KIM, Eun Joo , OH, Wangjin
摘要： Embodiments relate to a skin diagnosis system and method based on image analysis using deep learning, comprising: a face recognition model that derives shape or location information of a facial structure by recognizing feature points capable of identifying an individual in an acquired face image; a de-identification model that de-identifies a face image on the basis of the shape or location information of the facial structure such that personal information of an analysis target cannot be identified; and a plurality of artificial neural network models for each of at least one item among diagnoses for wrinkles, pigmentation, pores, erythema, and aging.
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公开(公告)号：EP4414998A1
公开(公告)日：2024-08-14
申请号：EP23156236.4
申请日：2023-02-13
发明人： XIE, Long , GIBSON, Eli
摘要： The present invention relates to methods and apparatuses and a system as well as to computer program for providing image-based biomarkers for active disease progression of Alzheimer's disease and related dementias (ADRD) by training and using artificial neural networks (ANNs) on the basis of subject's images. The method or system comprises a cross-sectional sub-pipeline and a longitudinal sub-pipeline for processing different images parts, namely cross-sectional imaging data and longitudinal imaging data. A patch-based multiple instance learning (MIL) scheme is applied.
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公开(公告)号：EP4413499A1
公开(公告)日：2024-08-14
申请号：EP22800904.9
申请日：2022-10-05
IPC分类号： G06N3/042 , G06N3/0455 , G06N3/084 , G06N3/088 , G06N3/0895 , G06N3/0985 , G16B40/20 , G16H30/40 , G16H50/30 , G16H50/70 , G06N3/0464
CPC分类号： G06N3/088 , G06N3/084 , G06N3/042 , G16H50/70 , G16H50/30 , G16H30/40 , G16B40/20 , G06N3/0985 , G06N3/0895 , G06N3/0464 , G06N3/0455
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