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公开(公告)号：US20230115448A1
公开(公告)日：2023-04-13
申请号：US17954490
申请日：2022-09-28
Applicant: PAIGE.AI, Inc.
Inventor： Jillian SUE , Matthew LEE , Christopher KANAN
Abstract: A method for processing electronic medical images may include receiving an initial whole slide image of a pathology specimen, receiving information about slide quality aspects to modify, and generating a synthetic whole slide image by applying a machine learning model to modify the received initial whole slide image according to the received information. The pathology specimen may be associated with a patient. The synthetic whole slide image may have a reduced quality as compared to the initial whole slide image.
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Patent Agency Ranking
公开(公告)号：US20240177838A1
公开(公告)日：2024-05-30
申请号：US18521903
申请日：2023-11-28
Applicant: PAIGE.AI, Inc.
Inventor： 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 classification number: G16H30/40 , G06T7/0012 , G06T7/11 , G06T9/00 , G06V10/764 , G16H30/20 , G16H50/20 , G16H50/70
Abstract: 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：US20230111077A1
公开(公告)日：2023-04-13
申请号：US18046604
申请日：2022-10-14
Applicant: PAIGE.AI, Inc.
Inventor： Christopher KANAN , Belma DOGDAS , Patricia RACITI , Matthew LEE , Alican BOZKURT , Leo GRADY , Thomas FUCHS , Jorge S. REIS-FILHO
Abstract: Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display.
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公开(公告)号：US20240087121A1
公开(公告)日：2024-03-14
申请号：US18513860
申请日：2023-11-20
Applicant: PAIGE.AI, Inc.
Inventor： Christopher KANAN , Belma DOGDAS , Patricia RACITI , Matthew LEE , Alican BOZKURT , Leo GRADY , Thomas FUCHS , Jorge S. REIS-FILHO
CPC classification number: G06T7/0012 , G06F18/214 , G06N20/00 , G06T7/11 , G06V10/462 , G16H10/60 , G16H30/40 , G16H50/20 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024 , G06T2207/30068 , G06V2201/03
Abstract: Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display.
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公开(公告)号：US20240062372A1
公开(公告)日：2024-02-22
申请号：US18451507
申请日：2023-08-17
Applicant: PAIGE.AI, INC.
Inventor： Jillian SUE , Marc GOLDFINGER , Brandon ROTHROCK , Matthew LEE
CPC classification number: G06T7/0012 , G06T5/50 , G06V10/462 , G16H30/20 , G16H30/40 , G06T2207/20221 , G06T2207/30024 , G06T2207/30068
Abstract: Systems and methods are described herein for processing electronic medical images to predict a biomarker's presence, including receiving one or more digital medical images, the one or more digital medical images being of at least one pathology specimen associated with a patient. A machine learning system may determine a biomarker expression level prediction for the one or more digital medical images. The biomarker expression level prediction may be based on a determined transcriptomic score and protein expression score for the one or more digital medical images. A slide overlay indicating a region of tissue on the one or more digital medical images that is most likely to contribute to the slide level biomarker expression prediction may be generated.
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公开(公告)号：US20240144477A1
公开(公告)日：2024-05-02
申请号：US18400016
申请日：2023-12-29
Applicant: PAIGE.AI, Inc.
Inventor： Christopher KANAN , Belma DOGDAS , Patricia RACITI , Matthew LEE , Alican BOZKURT , Leo GRADY , Thomas FUCHS , Jorge S. REIS-FILHO
CPC classification number: G06T7/0012 , G06F18/214 , G06N20/00 , G06T7/11 , G06V10/462 , G16H10/60 , G16H30/40 , G16H50/20 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024 , G06T2207/30068 , G06V2201/03
Abstract: Systems and methods are disclosed for processing digital images to predict at least one continuous value comprising receiving one or more digital medical images, determining whether the one or more digital medical images includes at least one salient region, upon determining that the one or more digital medical images includes the at least one salient region, predicting, by a trained machine learning system, at least one continuous value corresponding to the at least one salient region, and outputting the at least one continuous value to an electronic storage device and/or display.
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