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Patent B2, cardioembolic stroke diagnosis via chest X-rays

Favicon for changeflow.com USPTO Patent Grants - Diagnosis & Surgery (A61B)
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Summary

The USPTO granted Patent US12594046B2 to Seoul National University Hospital on April 7, 2026. The patent covers a method and apparatus for assisting diagnosis of cardioembolic stroke using chest radiographic images analyzed by a neural network model. Inventors are Han-Gil Jeong and Tackeun Kim.

What changed

USPTO granted Patent US12594046B2 for a neural network-based method to assist in diagnosing cardioembolic stroke from chest X-ray images. The patent claims 13 items covering the feature extraction and classification methodology. This represents a standard patent grant with no regulatory compliance implications.

Healthcare providers and medical device manufacturers should note this patent if developing similar AI-assisted diagnostic tools, as it may affect freedom-to-operate analyses. Technology companies developing medical imaging AI may need to consider licensing or design-around strategies.

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Archived snapshot

Apr 7, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Grants

Method and apparatus for assisting diagnosis of cardioembolic stroke by using chest radiographic images

Grant US12594046B2 Kind: B2 Apr 07, 2026

Assignee

Seoul National University Hospital

Inventors

Han-Gil Jeong, Tackeun Kim

Abstract

Embodiments relate to a method for assisting the diagnosis of cardioembolic stroke, in which the method is performed by a processor and is to assist the diagnosis of cardioembolic stroke by using chest radiographic images, the method comprising the steps of: acquiring chest radiographic images to be classified of a subject; and acquiring cardioembolic stroke diagnosis auxiliary information from the chest radiographic images to be classified of the subject, by using a neural network model, wherein the neural network model is configured to extract features from the chest radiographic images to be classified of the subject, and determine, based on the extracted features, whether the subject belongs to a group indicative of having cardioembolic stroke.

CPC Classifications

A61B 6/503 A61B 6/5217 A61B 6/501 G06T 7/0012 G06T 2207/10116 G06T 2207/20081 G06T 2207/20084 G06T 7/00 G16H 30/40 G16H 50/20

Filing Date

2021-09-24

Application No.

18028307

Claims

13

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Last updated

Classification

Agency
USPTO
Published
April 7th, 2026
Instrument
Notice
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12594046B2

Who this affects

Applies to
Healthcare providers Medical device makers Technology companies
Industry sector
3345 Medical Device Manufacturing 5112 Software & Technology
Activity scope
Medical device manufacturing AI/ML software development Diagnostic procedures
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Healthcare Artificial Intelligence

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