-
公开(公告)号:US20210073984A1
公开(公告)日:2021-03-11
申请号:US17014532
申请日:2020-09-08
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Peter SCHUEFFLER , Jose Sebastian IZURIETA-HERRERA
Abstract: 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 determine at least one characteristic of the target specimen and/or at least one characteristic of the target electronic image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the target electronic image identifying an area of interest based on the at least one characteristic of the target specimen and/or the at least one characteristic of the target electronic image.
-
公开(公告)号:US20210233642A1
公开(公告)日:2021-07-29
申请号:US17160129
申请日:2021-01-27
Applicant: PAIGE.AI, Inc.
Inventor: Jillian SUE , Jason LOCKE , Peter SCHUEFFLER , Christopher KANAN , Thomas FUCHS , Leo GRADY
Abstract: Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.
-
3.
公开(公告)号:US20240112338A1
公开(公告)日:2024-04-04
申请号:US18530844
申请日:2023-12-06
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Christopher KANAN , Sese IH
CPC classification number: G06T7/0012 , G06N20/00 , G06T3/40 , G06T11/60 , G16H10/40 , G16H30/40 , G16H70/60 , G06T2207/20081 , G06T2207/30024
Abstract: 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.
-
公开(公告)号:US20210398278A1
公开(公告)日:2021-12-23
申请号:US17350328
申请日:2021-06-17
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Christopher KANAN , Sese IH
Abstract: 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 (Al) 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 Al system, a salient region overlay for the digitized image, wherein the Al 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.
-
公开(公告)号:US20250045922A1
公开(公告)日:2025-02-06
申请号:US18920046
申请日:2024-10-18
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Christopher KANAN , Sese IH
Abstract: 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.
-
公开(公告)号:US20230095896A1
公开(公告)日:2023-03-30
申请号:US18061837
申请日:2022-12-05
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Peter SCHUEFFLER , Jose Sebastian IZURIETA-HERRERA
Abstract: 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 determine at least one characteristic of the target specimen and/or at least one characteristic of the target electronic image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the target electronic image identifying an area of interest based on the at least one characteristic of the target specimen and/or the at least one characteristic of the target electronic image.
-
7.
公开(公告)号:US20230005597A1
公开(公告)日:2023-01-05
申请号:US17931485
申请日:2022-09-12
Applicant: PAIGE.AI, Inc.
Inventor: Jillian SUE , Jason LOCKE , Peter SCHUEFFLER , Christopher KANAN , Thomas FUCHS , Leo GRADY
Abstract: Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.
-
公开(公告)号:US20220207735A1
公开(公告)日:2022-06-30
申请号:US17655524
申请日:2022-03-18
Applicant: PAIGE.AI, Inc.
Inventor: Jason LOCKE , Jillian SUE , Christopher KANAN , Sese IH
Abstract: 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.
-
-
-
-
-
-
-