公开(公告)号：US20230290111A1

公开(公告)日：2023-09-14

申请号：US18179871

申请日：2023-03-07

Applicant: PAIGE.AI, Inc.

Inventor： Jeremy Daniel KUNZ ,  Danielle GORTON ,  Adam CASSON

IPC: G06V10/70 ,  G06T7/00 ,  G06T5/20 ,  H04N5/265 ,  G16H30/20 ,  G16H30/40

CPC classification number: G06V10/70 ,  G06T5/20 ,  G06T7/0012 ,  G16H30/20 ,  G16H30/40 ,  H04N5/265 ,  G06T2207/30024

Abstract: A computer-implemented method for processing electronic medical images, the method including receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient and receiving one or more search criteria. One or more machine learning systems may be determined based on the one or more search criteria. The one or more machine learning systems may be output to a user, wherein outputting the one or more machine learning system includes applying the one or more machine learning systems to the one or more received medical images, and displaying the one or more digital medical images after the machine learning system performed analysis on the digital medical images. A selection from a user may be received, the selection corresponding to a first machine learning system from the one or more machine learning systems. The first machine learning system may be output.

公开(公告)号：US20220199255A1

公开(公告)日：2022-06-23

申请号：US17565681

申请日：2021-12-30

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Patricia RACITI ,  Jillian SUE ,  Razik YOUSFI

IPC: G16H50/20 ,  G16H30/40 ,  G06T7/00 ,  G16H15/00 ,  G16H10/40 ,  G16H80/00 ,  G06T11/60

Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.

公开(公告)号：US20220351368A1

公开(公告)日：2022-11-03

申请号：US17591640

申请日：2022-02-03

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Matthew HANNA ,  Christopher KANAN

IPC: G06T7/00

Abstract: A computer-implemented method may identify attributes of electronic images and display the attributes. The method may include receiving one or more electronic medical images associated with a pathology specimen, determining a plurality of salient regions within the one or more electronic medical images, determining a predetermined order of the plurality of salient regions, and automatically panning, using a display, across the one or more salient regions according to the predetermined order.

公开(公告)号：US20250078271A1

公开(公告)日：2025-03-06

申请号：US18950396

申请日：2024-11-18

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Matthew HANNA ,  Christopher KANAN

IPC: G06T7/00

Abstract: A computer-implemented method may identify attributes of electronic images and display the attributes. The method may include receiving one or more electronic medical images associated with a pathology specimen, determining a plurality of salient regions within the one or more electronic medical images, determining a predetermined order of the plurality of salient regions, and automatically panning, using a display, across the one or more salient regions according to the predetermined order.

公开(公告)号：US20220198666A1

公开(公告)日：2022-06-23

申请号：US17552438

申请日：2021-12-16

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Patricia RACITI ,  Jillian SUE ,  Razik YOUSFI

IPC: G06T7/00 ,  G06V10/25 ,  G06V10/12 ,  G06V10/77

Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.

公开(公告)号：US20230351599A1

公开(公告)日：2023-11-02

申请号：US18329024

申请日：2023-06-05

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Patricia RACITI ,  Jillian SUE ,  Razik YOUSFI

IPC: G16H15/00 ,  G06T11/60 ,  G06T7/00 ,  G06V10/25 ,  G06V10/77 ,  G16H30/40 ,  G16H80/00 ,  G06V10/12 ,  G16H10/40 ,  G16H50/20

CPC classification number: G06T7/0014 ,  G06T11/60 ,  G06V10/12 ,  G06V10/25 ,  G06V10/7715 ,  G16H10/40 ,  G16H15/00 ,  G16H30/40 ,  G16H50/20 ,  G16H80/00 ,  G06T2207/10004 ,  G06T2207/30004 ,  G06T2207/30024 ,  G06V2201/03

Abstract: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.

公开(公告)号：US20230177685A1

公开(公告)日：2023-06-08

申请号：US18062677

申请日：2022-12-07

Applicant: PAIGE.AI, Inc.

Inventor： Danielle GORTON ,  Christopher KANAN ,  PATRICIA RACITI

IPC: G06T7/00 ,  G06V10/74 ,  G16H30/40 ,  G06F3/04817 ,  G06F3/14

CPC classification number: G06T7/0012 ,  G06V10/761 ,  G16H30/40 ,  G06F3/04817 ,  G06F3/14 ,  G06T2207/30024

Abstract: Aspects disclosed herein may provide a computer-implemented method for processing electronic medical images. The method may include receiving one or more digital images of a pathology specimen, detecting a presence of one or more incidents of one or more attributes in the received digital image, detecting a spatial relationship of the one or more incidents, selecting, based on the detected spatial relationship, one or more incidents of the one or more attributes, and outputting, to a display, a visual depiction of the one or more selected incidents and the spatial relationship.