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公开(公告)号：US12131473B2
公开(公告)日：2024-10-29
申请号：US18523098
申请日：2023-11-29
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G06F18/214 , G16H30/40 , G16H50/20
CPC分类号： G06T7/0012 , G06F18/214 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06V2201/03
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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公开(公告)号：US11994665B2
公开(公告)日：2024-05-28
申请号：US17815034
申请日：2022-07-26
申请人： PAIGE.AI, Inc.
CPC分类号： G02B21/365 , G02B21/368 , G06T7/70
摘要： A computer-implemented method of reviewing digital pathology data may include receiving a digital pathology image into a digital storage device, the digital pathology image being associated with a patient, providing for display the digital pathology image on a display, pairing the digital pathology image with a physical token of the digital pathology image in an interactive system, receiving one or more commands from the interactive system, determining one or more manipulations or modifications to the displayed digital pathology image based on the one or more commands, and providing for display a modified digital pathology image on the display according to the determined one or more manipulations or modifications.
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公开(公告)号：US11983796B2
公开(公告)日：2024-05-14
申请号：US17880766
申请日：2022-08-04
申请人： PAIGE.AI, Inc.
摘要： A method for processing an electronic image including receiving, by a viewer, the electronic image and a FOV (field of view), wherein the FOV includes at least one coordinate, at least one dimension, and a magnification factor, loading, by the viewer, a plurality of tiles within the FOV, determining, by the viewer, a state of the plurality of tiles in a cache, and in response to determining that the state of the plurality of tiles in the cache is a fully loaded state, rendering, by the viewer, the plurality of tiles to a display.
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公开(公告)号：US11978560B2
公开(公告)日：2024-05-07
申请号：US17951421
申请日：2022-09-23
申请人： PAIGE.AI, Inc.
CPC分类号： G16H50/20 , G06F18/214 , G06T7/0012 , G06V10/25 , G06V30/19147 , G16H10/20 , G16H30/40 , G06T2207/20081 , G06T2207/30004 , G06V2201/03
摘要： Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.
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5.发明公开公开(公告)号：US20240112338A1
公开(公告)日：2024-04-04
申请号：US18530844
申请日：2023-12-06
申请人： PAIGE.AI, Inc.
发明人： Jason LOCKE , Jillian SUE , Christopher KANAN , Sese IH
CPC分类号： G06T7/0012 , G06N20/00 , G06T3/40 , G06T11/60 , G16H10/40 , G16H30/40 , G16H70/60 , G06T2207/20081 , G06T2207/30024
摘要： Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.
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公开(公告)号：US11869185B2
公开(公告)日：2024-01-09
申请号：US17804123
申请日：2022-05-26
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G16H50/20 , G16H30/40 , G06F18/214
CPC分类号： G06T7/0012 , G06F18/214 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06V2201/03
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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7.发明公开公开(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：US11823378B2
公开(公告)日：2023-11-21
申请号：US17107433
申请日：2020-11-30
申请人： PAIGE.AI, Inc.
发明人： Patricia Raciti , Christopher Kanan , Thomas Fuchs , Leo Grady
IPC分类号： G06T7/194 , G06V10/764 , G06T7/00 , G06T7/11 , G06V10/776 , G06V10/82 , G06V10/98 , G06V20/69
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/194 , G06V10/764 , G06V10/776 , G06V10/82 , G06V10/993 , G06V20/69 , G06T2207/10056 , G06T2207/20081 , G06T2207/20084 , G06T2207/30024 , G06V2201/03
摘要： Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, detecting one or more image regions from a background of the one or more digital images, determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen, and determining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the image region using an processing algorithm.
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9.发明公开公开(公告)号：US20230342931A1
公开(公告)日：2023-10-26
申请号：US18342032
申请日：2023-06-27
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G06T7/11 , G16H50/20 , G06N20/00 , G06V10/762 , G06V30/19 , G16B40/00 , G06F18/23213
CPC分类号： G06T7/0012 , G06T7/11 , G16H50/20 , G06N20/00 , G06V10/763 , G06V30/19107 , G16B40/00 , G06F18/23213 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096
摘要： Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.
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公开(公告)号：US20230245309A1
公开(公告)日：2023-08-03
申请号：US18295577
申请日：2023-04-04
申请人： PAIGE.AI, Inc.
发明人： Supriya KAPUR , Ran GODRICH , Christopher KANAN , Thomas FUCHS , Leo GRADY
CPC分类号： G06T7/0012 , G06F18/214 , G06T7/11 , G06V20/695 , G06V20/698 , G16H10/40 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06V2201/03
摘要： Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest.
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