公开(公告)号：US11551357B2

公开(公告)日：2023-01-10

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

IPC: G06T7/00 ,  G06N20/00 ,  G06T3/40 ,  G06T11/00 ,  G06V10/25

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：US11475990B2

公开(公告)日：2022-10-18

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

IPC: G16H30/20 ,  G06N20/00

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：US11315249B2

公开(公告)日：2022-04-26

申请号：US17350328

申请日：2021-06-17

Applicant: PAIGE.AI, Inc.

Inventor： Jason Locke ,  Jillian Sue ,  Christopher Kanan ,  Sese Ih

IPC: G06K9/00 ,  A61B6/00 ,  G06T7/00 ,  G16H70/60 ,  G16H10/40 ,  G16H30/40 ,  G06N20/00 ,  G06T3/40 ,  G06T11/60

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：US12148159B2

公开(公告)日：2024-11-19

申请号：US18530844

申请日：2023-12-06

Applicant: PAIGE.AI, Inc.

Inventor： Jason Locke ,  Jillian Sue ,  Christopher Kanan ,  Sese Ih

IPC: G06K9/00 ,  A61B6/00 ,  G06N20/00 ,  G06T3/40 ,  G06T7/00 ,  G06T11/60 ,  G16H10/40 ,  G16H30/40 ,  G16H70/60

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：US11887304B2

公开(公告)日：2024-01-30

申请号：US17655524

申请日：2022-03-18

Applicant: PAIGE.AI, Inc.

Inventor： Jason Locke ,  Jillian Sue ,  Christopher Kanan ,  Sese Ih

IPC: G06K9/00 ,  A61B6/00 ,  G06T7/00 ,  G16H70/60 ,  G16H10/40 ,  G16H30/40 ,  G06N20/00 ,  G06T3/40 ,  G06T11/60

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.