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公开(公告)号：US12033336B2
公开(公告)日：2024-07-09
申请号：US17402247
申请日：2021-08-13
申请人： MERATIVE US L.P.
CPC分类号： G06T7/33 , G06T7/13 , G16H30/40 , G06N20/00 , G06T2200/04 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30056 , G06T2207/30096
摘要： Systems and computer-implemented methods of performing image registration. One method includes receiving a first image and a second image acquired from a patient at different times and, in each of the first image and the second image, detecting an upper boundary of an imaged object in an image coordinate system and detecting a lower boundary of the imaged object in the image coordinate system. The method further includes, based on the upper boundary and the lower boundary of each of the first image and the second image, cropping and padding at least one of the first image and the second image to create an aligned first image and an aligned second image and executing a registration model on the aligned first image and the aligned second image to compute a deformation field between the aligned first image and the aligned second image.
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公开(公告)号：US12014807B2
公开(公告)日：2024-06-18
申请号：US17643743
申请日：2021-12-10
申请人： Merative US L.P.
摘要： A method, computer system, and a computer program product for automated report generation is provided. The present invention may include receiving a plurality of patient images. The present invention may include retrieving relevant data based on an analysis of the plurality of patient images. The present invention may include providing the relevant data to a user, wherein the relevant data provided to the user is in accordance with a relevant medical guideline. The present invention may include monitoring data input to generate a tailored medical report.
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公开(公告)号：US12014281B2
公开(公告)日：2024-06-18
申请号：US16952667
申请日：2020-11-19
申请人： Merative US L.P.
发明人： Elinor Dehan , Bhuvan Sharma , Claudia S. Huettner , Kirk Alan Beaty , Shang Xue , Himanshu Sharma
摘要： A mechanism is provided for processing electronic files to identify genetic variants of a gene. Evidence of one or more genetic variants of the gene and corresponding information is extracted from a corpus of information. Each genetic variant of the one or more genetic variants is classified based on whether the genetic variant is identified as being pathogenic. Genetic variant annotation is then performed to generate a summary.
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公开(公告)号：US11900605B2
公开(公告)日：2024-02-13
申请号：US17490316
申请日：2021-09-30
申请人： MERATIVE US L.P.
CPC分类号： G06T7/0014 , A61B6/032 , G06T7/13 , G06T7/30 , G06T2207/10081 , G06T2207/20221 , G06T2207/30096
摘要： Methods and systems are provided for detecting focal lesions in multi-phase or multi-sequence medical imaging studies of medical images. One system includes memory for storing medical images and an electronic processor. The electronic processor is configured to: detect native candidate lesions for first phase computer tomography (CT) scans, detect candidate lesions for second phase CT scans, and project the candidate lesions detected for the first phase CT scans and/or the second phase CT scans on a same common domain. Once the candidate lesions are registered together, the electronic processor performs a matching algorithm for each of the native candidate lesions of the first phase CT scans with the registered candidate lesions from the second phase CT scans to determine presence and contours of valid lesions for the medical images, and to discard candidate lesions that are not acceptable.
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公开(公告)号：US11900266B2
公开(公告)日：2024-02-13
申请号：US16409473
申请日：2019-05-10
申请人： MERATIVE US L.P.
IPC分类号： G06N5/02 , G16H70/20 , G16H30/20 , G06F9/451 , G06N20/00 , G06F16/25 , G06F16/242 , G06F16/435
CPC分类号： G06N5/02 , G06F9/453 , G06F16/243 , G06F16/25 , G06F16/437 , G06N20/00 , G16H30/20 , G16H70/20
摘要： A conversation management system provides a conversational computing interface that manages verbal exchanges between a computer (e.g., artificial intelligence) and a human operator. In a medical embodiment, conversational input from the computing system is generated based on medical knowledge, uses deep learning algorithms, and/or intelligently tracks the state of a conversation so as to the most relevant data to the user.
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公开(公告)号：US11875898B2
公开(公告)日：2024-01-16
申请号：US17331251
申请日：2021-05-26
申请人： MERATIVE US L.P.
CPC分类号： G16H50/20 , G06F18/217 , G06T7/0014 , G16H30/40 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30061 , G06T2207/30101
摘要： Methods and systems for training computer-aided condition detection systems. One method includes receiving a plurality of images for a plurality of patients, some of the images including an annotation associated with a condition; iteratively applying a first deep learning network to each of the images to produce an attention map, a feature map, and an image-level probability of the condition for each of the images; iteratively applying a second deep learning network to each feature map produced by the first network to produce a plurality of outputs; training the first network based on the attention map produced for each image; and training the second network based on the output produced for each of the patients. The second network includes a plurality of convolution layers and a plurality of convolutional long short-term memory (LSTM) layers. Each of the outputs includes a patient-level probability of the condition for one of the patients.
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公开(公告)号：US11813113B2
公开(公告)日：2023-11-14
申请号：US17205485
申请日：2021-03-18
申请人： Merative US L.P.
IPC分类号： G06T7/00 , G06T7/62 , A61B8/08 , A61B5/00 , G16H30/40 , A61B5/318 , A61B5/316 , G06V10/44 , G06F18/21 , G06F18/25 , G06V10/80 , G16H10/60
CPC分类号： A61B8/0883 , A61B5/316 , A61B5/318 , A61B5/72 , A61B8/5223 , G06F18/21 , G06F18/253 , G06T7/0012 , G06T7/0014 , G06T7/62 , G06V10/454 , G06V10/806 , G16H30/40 , G06T2207/10132 , G06T2207/20081 , G06T2207/20084 , G06T2207/30048 , G06V2201/031 , G16H10/60
摘要： Mechanisms are provided to implement an automated echocardiograph measurement extraction system. The automated echocardiograph measurement extraction system receives medical imaging data comprising one or more medical images and inputs the one or more medical images into a deep learning network. The deep learning network automatically processes the one or more medical images to generate an extracted echocardiograph measurement vector output comprising one or more values for echocardiograph measurements extracted from the one or more medical images. The deep learning network outputs the extracted echocardiograph measurement vector output to a medical image viewer.
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8.发明公开公开(公告)号：US20230237782A1
公开(公告)日：2023-07-27
申请号：US18158658
申请日：2023-01-24
申请人： MERATIVE US L.P.
发明人： Murray A. Reicher , Aviad Zlotnick
IPC分类号： G06V10/778 , G06F3/04842 , G06F18/24 , G06F18/40 , G06F18/21 , G06V30/194
CPC分类号： G06V10/7788 , G06F3/04842 , G06F18/24 , G06F18/41 , G06F18/217 , G06V30/194 , G06V2201/03
摘要： Systems and techniques are disclosed for improvement of machine learning systems based on enhanced training data. An example method includes providing a visual concurrent display of a set of images of features, the features requiring classification by a reviewing user. The user interface is provided to enable the reviewing user to assign classifications to the images, the user interface being configured to create, read, update, and/or delete classifications. The user interface is responsive to the user, with the user response indicating at least two images with a single classification. The user interface is updated to represent the single classification.
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9.发明授权公开(公告)号：US11651243B2
公开(公告)日：2023-05-16
申请号：US15931745
申请日：2020-05-14
摘要： A method, computing platform, and computer program product are provided for evaluating data quality during a clinical trial. A computing platform receives, for a clinical trial, study design information including a set of parameters and corresponding parameter values related to data quality of the clinical trial. During the clinical trial, the computing platform receives query-related information associated with queries from at least some of a plurality of participants of the clinical trial. The computing platform applies the study design information and the query-related information to at least one trained machine learning model to calculate a predicted data quality score indicating data quality for the clinical trial. At least one suggestion for improving the data quality is determined and the predicted data quality score and the at least one suggestion for improving the data quality are output.
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公开(公告)号：US12019661B2
公开(公告)日：2024-06-25
申请号：US18126698
申请日：2023-03-27
申请人： Merative US L.P.
发明人： Robert C. Sizemore , Jennifer L. La Rocca , Sterling R. Smith , Mario J. Lorenzo , Kristin E. McNeil , David B. Werts
IPC分类号： G06F16/332 , G06F16/31 , G06F16/33 , G06F16/335 , G06F40/169 , G16H15/00
CPC分类号： G06F16/3329 , G06F16/328 , G06F16/3344 , G06F16/335 , G06F40/169 , G16H15/00
摘要： 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.
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