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:
Mar. 17, 2026

Filed:

May. 12, 2023
Applicant:

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

Inventors:

Jeremy Daniel Kunz, New York, NY (US);

Donghun Lee, New York, NY (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06V 10/70 (2022.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06V 10/70 (2022.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01);
Abstract

Systems and methods are described herein for processing electronic medical images. The method may include determining, using an automated routine, whether a pathology protocol is accessible; determining a first set of one or more training images, the first set of one or more training images comprising digital medical images annotated utilizing the pathology protocol; and providing the training images to a machine learning model capable of analyzing digital medical images according to the pathology protocol or guideline. The providing may further include determining a starting model, splitting the first set of one or more training images into a training set A and an evaluation set B of digital medical images, fine tuning the starting model with the training set A to determine the machine learning model, evaluating the machine learning model with the training set B, and upon receiving a passing evaluation, saving the determined machine learning model.


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