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公开(公告)号：US11482309B2
公开(公告)日：2022-10-25
申请号：US16294997
申请日：2019-03-07
发明人： Sven Kohle , Michael Rusitska , Simon Allen-Raffl , Christian Tietjen , Marcus Thaele , Gerardo Hermosillo Valadez , Steffen Weichert , Johannes Baeck , Felix Nensa , Saulius Archipovas , Felix Ritter
摘要： A system is used to control operation of a user device. An association between a medical condition and one or more decision trees is maintained. Each decision tree includes nodes organised in a tree structure originating at a root node and terminating at leaf nodes via branch nodes. The nodes are linked to each other via outputs and each output causes the system to differently control operation of the user device. Responsive to receiving medical information associated with the patient, using the association, a decision tree is identified. For the root node of the identified decision tree: a first node is selected, responsive to receiving data indicative of a first output regarding the root node; the user device is caused to retrieve medical information from one or more data sources based on the first node; and the retrieved medical information is caused to be displayed on the user device.
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公开(公告)号：US20230005136A1
公开(公告)日：2023-01-05
申请号：US17806156
申请日：2022-06-09
发明人： Halid Yerebakan , Gerardo Hermosillo Valadez , Yoshihisa Shinagawa , Matthias Wolf , Anna Jerebko , Yu Zhao , Simon Allen-Raffl , Katharina Schmidler Burk , Mahesh Ranganath
摘要： A computer implemented method and apparatus for determining a location at which a given feature is represented in medical imaging data is disclosed. A first descriptor for a first location in first medical imaging data is obtained. The first location is the location within the first medical imaging data at which the given feature is represented. A second descriptor for each of a plurality of candidate second locations in second medical imaging data is obtained. A similarity metric indicating a degree of similarity with the first descriptor is calculated for each of the plurality of candidate second locations. A candidate second location is selected from among the plurality of candidate second locations based on the calculated similarity metrics. The location at which the given feature is represented in the second medical imaging data is determined based on the selected candidate second location.
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公开(公告)号：US11327773B2
公开(公告)日：2022-05-10
申请号：US15977188
申请日：2018-05-11
IPC分类号： G06F9/451 , G16H30/20 , G06F3/0482 , G06K9/62 , G06N3/08 , G06N20/00 , G06V40/10 , G06F9/445
摘要： A framework for anatomy-aware adaptation of a graphical user interface. Landmarks are first detected by passing one or more current images through a trained machine learning model. A body section may then be inferred based on the detected landmarks. One or more user interface elements may be determined based on the inferred body section. A graphical user interface may then be adapted with the determined one or more user interface elements.
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公开(公告)号：US11101032B2
公开(公告)日：2021-08-24
申请号：US16533998
申请日：2019-08-07
发明人： Sven Kohle , Christian Tietjen , Gerardo Hermosillo Valadez , Shu Liao , Felix Ritter , Jan Kretschmer
摘要： A method and system are for identification of at least one medical reference image. An embodiment of the method includes providing a medical representation image based on a current examination image depicting a body part of a first patient; defining a region of interest in the medical representation image; generating a feature signature, at least for the region of interest; comparing the medical representation image with a plurality of medical images of at least one second patient stored in a medical image database, based on the feature signature generated; and identifying at least one medical image in the medical image database as the at least one medical reference image, the at least one medical reference image providing a similarity degree to the medical representation image above a threshold. In an embodiment, the generating is performed using a trained machine-learning algorithm.
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公开(公告)号：US20230041553A1
公开(公告)日：2023-02-09
申请号：US17806159
申请日：2022-06-09
发明人： Yoshihisa Shinagawa , Halid Yerebakan , Gerardo Hermosillo Valadez , Simon Allen-Raffl , Mahesh Ranganath
摘要： A computer implemented method and apparatus determines a body region represented by medical imaging data stored in a first image file. The first image file further stores one or more attributes each having an attribute value comprising a text string indicating content of the medical imaging data. One or more of the text strings of the first image file are obtained and input into a trained machine learning model, the machine learning model having been trained to output a body region based on an input of one or more such text strings. The output from the trained machine learning model is obtained thereby to determine the body region represented by the medical imaging data. Also disclosed are methods of selecting one or more sets of second medical imaging data as relevant to first medical imaging data.
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公开(公告)号：US20210249119A1
公开(公告)日：2021-08-12
申请号：US17109505
申请日：2020-12-02
发明人： Yu Zhao , Parmeet Bhatia , Ke Zeng , Gerardo Hermosillo Valadez , Chen Li , Zhigang Peng , Yiyuan Zhao
摘要： Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.
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公开(公告)号：US20210158531A1
公开(公告)日：2021-05-27
申请号：US17163893
申请日：2021-02-01
发明人： Luca Bogoni , Marcos Salganicoff , Matthias Wolf , Shu Liao , Yiqiang Zhan , Gerardo Hermosillo Valadez , Xiang Sean Zhou , Zhigang Peng
IPC分类号： G06T7/11 , G06T7/00 , G16H15/00 , A61B5/00 , G16H50/20 , G16H10/60 , A61B5/055 , A61B5/107 , G16H30/40
摘要： A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
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公开(公告)号：US20170322684A1
公开(公告)日：2017-11-09
申请号：US15581236
申请日：2017-04-28
发明人： Gerardo Hermosillo Valadez , Marcos Salganicoff , Brian Delmonego , Penny Reiman , Friedrich Fuchs
IPC分类号： G06F3/0482 , G06F19/00 , G06N99/00 , G06T11/60
CPC分类号： G06N20/00 , G06F19/321 , G06T11/60 , G06T2200/24 , G06T2210/41 , G16H10/20 , G16H30/40 , G16H50/20 , G16H50/30
摘要： A framework for automating clinical scoring for decision support is described herein. In accordance with one aspect, a patient record including corresponding medical image data is retrieved. The medical image data is processed to generate processed medical image data. A set of user interface screens is presented to guide a user through a clinical scoring questionnaire, wherein at least one of the user interface screens displays the processed medical image data. Responses to the clinical scoring questionnaire are received from the user via the set of user interface screens. A clinical score may be generated based at least in part on the responses. A clinical score report based on the clinical score may then be presented.
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9.发明申请公开(公告)号：US20230033783A1
公开(公告)日：2023-02-02
申请号：US17806949
申请日：2022-06-15
发明人： Yoshihisa Shinagawa , Halid Yerebakan , Gerardo Hermosillo Valadez , Simon Allen-Raffl , Mahesh Ranganath , Michael Rusitska
摘要： There is disclosed a method and apparatus for annotating a first portion of medical imaging data with one or more words corresponding to a respective one or more features represented in the first portion of medical imaging data. A similarity metric indicating a degree of similarity between the first portion and each of a plurality of second portions of reference medical imaging data is determined, at least one of the plurality of second portions being annotated with one or more first words corresponding to a respective one or more features represented in the second portion. A second portion is selected based on the similarity metrics, and the first portion is annotated with the one or more first words with which the second portion, selected for the first portion, is annotated.
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公开(公告)号：US11430119B2
公开(公告)日：2022-08-30
申请号：US17017914
申请日：2020-09-11
摘要： A method and for quantifying a three-dimensional medical image volume are provided. An embodiment of the method includes: providing a two-dimensional representation image based on the medical image volume; defining a region of interest in the two-dimensional representation image; generating a feature signature for the region of interest; defining a plurality of two-dimensional image patches in the medical image volume; calculating, for each of the image patches, a degree of similarity between the region of interest and the respective image patch on the basis of the feature signature; visualizing the degrees of similarities.
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