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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
Applicant: Merative US L.P.
Inventor: Larissa Christina Schudlo , Benedikt Graf , Marwan Sati
Abstract: 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:US11727559B2
公开(公告)日:2023-08-15
申请号:US16918067
申请日:2020-07-01
Applicant: Merative US L.P.
Inventor: Benedikt Graf , Yiting Xie , Arkadiusz Sitek , Amin Katouzian
IPC: G06T7/00 , G16H50/30 , G16H30/40 , G16H50/20 , G06N20/00 , G06T1/20 , G06T7/11 , A61B6/00 , A61B5/00 , A61B6/12 , G06T7/70
CPC classification number: G06T7/0012 , A61B5/7267 , A61B6/12 , A61B6/5217 , G06N20/00 , G06T1/20 , G06T7/11 , G06T7/70 , G16H30/40 , G16H50/20 , G16H50/30 , G06T2207/10116 , G06T2207/20081 , G06T2207/30061
Abstract: A computer implemented method, a data processing system and a computer program product to determine a likelihood of pneumothorax of a patient, the method including assessing a digital image of a chest x-ray of the patient, applying a standard detection pipeline to the digital image, applying a confounding factor detector to the digital image, and applying a high-resolution detection pipeline to the digital image.
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公开(公告)号:US20230214994A1
公开(公告)日:2023-07-06
申请号:US17569465
申请日:2022-01-05
Applicant: MERATIVE US L.P.
Inventor: Sun Young Park , Dustin Michael Sargent , Benedikt Graf , Larissa Christina Schudlo , Marwan Sati
CPC classification number: G06T7/0012 , G16H50/20 , G06F40/20 , G16H30/40 , G06T2207/20081
Abstract: Methods and systems for assigning a medical image study for review. One method includes receiving a plurality of labeled medical image studies and one or more prior image studies of a patient associated with each of plurality of labeled medical image studies. The method also includes creating a set of training data including the plurality of labeled medical image studies and the one or more prior image studies received for each of the plurality of labeled medical image studies and training an artificial intelligence (AI) system using the set of training data. In addition, the method includes estimating, using the AI system as trained, a difficulty metric for an unlabeled medical image study based on the unlabeled medical image study and one or more prior image studies of a patient associated with the unlabeled image study and assigning the unlabeled medical image study for review based on the difficulty metric.
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公开(公告)号:US11963790B2
公开(公告)日:2024-04-23
申请号:US16952459
申请日:2020-11-19
Applicant: Merative US L.P.
Inventor: Arkadiusz Sitek , Mark D. Bronkalla , Larissa Christina Schudlo , Benedikt Graf , Yiting Xie
CPC classification number: A61B5/4566 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30012
Abstract: An approach for a computer program to receive image data of a subject including at least a portion of a spine of the subject and a chronological age of the subject. The approach includes the computer program pre-processing the image data including at least a portion of a spine. The approach includes determining an apparent age of the spine or a portion of the spine of the subject using a trained artificial intelligence deep learning algorithm.
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