Cleerly Cardiovascular Plaque Analysis Patent, Apr 14
Summary
The USPTO granted patent US12599352B2 to Cleerly, Inc. on April 14, 2026. The patent covers systems, devices, and methods for non-invasive image-based plaque analysis and risk determination using computer vision and machine learning to identify, diagnose, characterize, treat, and track coronary artery disease. Inventors are James K. Min and James P. Earls, with 20 claims in the granted patent.
“Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination.”
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GovPing monitors USPTO Patent Grants - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 45 changes logged to date.
What changed
The USPTO granted patent US12599352B2 to Cleerly, Inc. on April 14, 2026. The patent covers systems, devices, and methods for non-invasive image-based plaque analysis and risk determination using computer vision or machine learning applied to coronary plaque analysis from non-invasively obtained images.
Medical device manufacturers and healthcare technology companies developing cardiovascular imaging analysis tools should be aware of this granted patent covering coronary plaque characterization methods using machine learning techniques. The patent may be relevant to freedom-to-operate analyses for similar plaque analysis or cardiac imaging analysis products.
Archived snapshot
Apr 25, 2026GovPing 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.
Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination
Grant US12599352B2 Kind: B2 Apr 14, 2026
Assignee
Cleerly, Inc.
Inventors
James K. Min, James P. Earls
Abstract
Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.
CPC Classifications
A61B 6/5217 A61B 6/032 A61B 6/503 A61B 6/504 A61B 6/507 A61B 6/5229 G06T 7/0012 G06T 7/62 G06T 2207/10081 G06T 2207/20076 G06T 2207/30048 G06T 2207/30104 G06T 2207/20084 G06T 7/11 G06V 10/22 G06V 10/26 G06V 2201/031 G16H 30/40 G16H 50/20 G16H 50/30
Filing Date
2024-02-29
Application No.
18592081
Claims
20
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