Patent EP4664485A3: Processing Electronic Images for Diagnostic Tests

ChangeBridge: EPO Bulletin - Health Informatics (G16H)

Published March 18th, 2026

Detected March 23rd, 2026

Summary

The European Patent Office has published patent application EP4664485A3, filed by PAIGE.AI, Inc., concerning systems and methods for processing digital images to identify diagnostic tests using machine learning. The patent describes a method for analyzing pathology specimen images to determine applicable diagnostic tests.

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What changed

The European Patent Office (EPO) has published patent application EP4664485A3, titled "Systems and Methods to Process Electronic Images to Identify Diagnostic Tests." The application, filed by PAIGE.AI, Inc., details a method that uses machine learning to analyze digital images of pathology specimens. The system identifies prerequisite conditions for diagnostic tests and determines which tests are applicable based on the images and trained data.

This publication is a patent application, not a regulatory rule or guidance. It does not impose new compliance obligations or deadlines on regulated entities. However, it may be of interest to companies involved in developing or utilizing AI-powered diagnostic tools in healthcare, particularly in pathology. Compliance officers in the pharmaceutical and medical device sectors should note this development as it pertains to the technological landscape of diagnostic testing.

Source document (simplified)

← EPO Patent Bulletin

SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO IDENTIFY DIAGNOSTIC TESTS

Search Report EP4664485A3 Kind: A3 Mar 18, 2026

Applicants

PAIGE.AI, Inc.

Inventors

GRADY, Leo, KANAN, Christopher, REIS-FILHO, Jorge Sergio, DOGDAS, Belma, HOULISTON, Matthew

Abstract

Systems and methods are disclosed for processing digital images to identify diagnostic tests, the method comprising receiving one or more digital images associated with a pathology specimen, determining a plurality of diagnostic tests, applying a machine learning system to the one or more digital images to identify any prerequisite conditions for each of the plurality of diagnostic tests to be applicable, the machine learning system having been trained by processing a plurality of training images, identifying, using the machine learning system, applicable diagnostic tests of the plurality of diagnostic tests based on the one or more digital images and the prerequisite conditions, and outputting the applicable diagnostic tests to a digital storage device and/or display.

IPC Classifications

G06V 10/25 20220101AFI20260206BHEP G06V 10/70 20220101ALI20260206BHEP G06V 20/69 20220101ALI20260206BHEP G16H 10/40 20180101ALI20260206BHEP G16H 30/40 20180101ALI20260206BHEP G16H 50/30 20180101ALI20260206BHEP

Designated States

AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR

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