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公开(公告)号:US20230386031A1
公开(公告)日:2023-11-30
申请号:US18324665
申请日:2023-05-26
申请人: PAIGE.AI, Inc.
IPC分类号: G06T7/00
CPC分类号: G06T7/0012 , G06T2207/20084 , G06T2207/30004
摘要: Systems and methods are described herein for processing electronic medical images to predict one or more histological morphologies. For example, one or more digital medical images may be received, the one or more digital medical images being of at least one pathology specimen associated with a patient. Patient clinical data for the patient may be received. A trained machine learning system may be determined. The patient clinic data and one or more digital medical images may be provided to the trained machine learning system. A histological morphology prediction of the patient may be determined, using the trained machine learning system. The histological morphology prediction may be output to a user and/or storage.
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公开(公告)号:US20240177838A1
公开(公告)日:2024-05-30
申请号:US18521903
申请日:2023-11-28
申请人: PAIGE.AI, Inc.
发明人: Siqi LIU , Eugene VORONTSOV , Alican BOZKURT , George SHAIKOVSKI , Michal ZELECHOWSKI , Adam CASSON , Jan BERNHARD , Sid SENTHILNATHAN , Matthew LEE , Ran GODRICH , Thomas FUCHS , Brandon ROTHROCK
CPC分类号: G16H30/40 , G06T7/0012 , G06T7/11 , G06T9/00 , G06V10/764 , G16H30/20 , G16H50/20 , G16H50/70
摘要: Systems and methods for processing digital medical images to infer metadata from those images are disclosed. In some aspects, digital medical images may be processed to infer metadata by receiving a plurality of digital medical images, receiving a prompt, the prompt being a request for a specific type of metadata to be inferred from the plurality of digital medical images, determining, using a trained foundation model, at least one feature descriptor from the plurality of digital medical images based on the prompt, and providing for output the at least one feature descriptor for each of the plurality of digital medical images.
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公开(公告)号:US20230024468A1
公开(公告)日:2023-01-26
申请号:US17852884
申请日:2022-06-29
申请人: PAIGE.AI, Inc.
IPC分类号: G06V10/774 , G06V10/46
摘要: A computer-implemented method for processing an electronic image may include receiving, by an artificial intelligence (AI) system at an electronic storage of the AI system, one or more digital whole slide images (WSIs) and extracting one or more vectors of features from one or more foreground tiles of tile images of the one or more digital WSIs. The method may include running a trained machine learning model on the one or more vectors of features and determining, based on an output of the trained machine learning model, whether one or more quality issues are present in the one or more digital WSIs.
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