The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 29, 2026

Filed:

Aug. 30, 2023
Applicant:

Paige.ai, Inc., New York, NY (US);

Inventors:

Ran Godrich, New York, NY (US);

Jillian Sue, New York, NY (US);

Leo Grady, Darien, CT (US);

Thomas Fuchs, New York, NY (US);

Assignee:

Paige.AI, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G16B 40/20 (2019.01); G16H 10/40 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01); G16H 70/60 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16B 40/20 (2019.02); G16H 10/40 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 70/20 (2018.01); G16H 70/60 (2018.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30204 (2013.01); G06V 2201/03 (2022.01); G06V 2201/04 (2022.01);
Abstract

Systems and methods are disclosed for processing images including, for example, receiving a target image of a slide corresponding to a target specimen comprising a tissue sample of a patient; determining a quality control metric for the target image via a first trained machine learning model having been trained to predict the quality control metric based on the target image, wherein the quality control metric signifies a quality control issue; and outputting, via a user interface, a sequence of a plurality of digitized pathology images, wherein a placement of the target image in the sequence is based on the quality control metric.


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