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USPTO Patent Grant: Pulmonary Hypertension Assessment System

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted a patent (US12582342B2) to Analytics for Life Inc. for a system using phase space tomography and machine learning to assess pulmonary hypertension. The patent details methods and systems for analyzing cardiac system dynamics and using computed images as input for a neural network classifier to detect the disease.

What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12582342B2 to Analytics for Life Inc. This patent covers a method and system for assessing pulmonary hypertension by employing phase space tomography and machine learning. The technology generates computed phase-space tomographic images and mathematical features to represent the dynamics of cardiac systems, which can then be used by physicians to aid in disease assessment. Specifically, the patent describes using these tomographic images as input for a trained neural network classifier designed to detect the presence or absence of pulmonary hypertension, including pulmonary arterial hypertension.

This patent grant represents a new technological development in medical diagnostics. While patents themselves are not regulations, they can influence the development and adoption of medical technologies. Healthcare providers and medical device manufacturers should be aware of this patented technology, as it may impact future diagnostic tools and treatment pathways for pulmonary hypertension. There are no immediate compliance obligations arising from this patent grant; however, companies developing similar technologies should be mindful of existing intellectual property rights.

Source document (simplified)

← USPTO Patent Grants

Method and system to assess pulmonary hypertension using phase space tomography and machine learning

Grant US12582342B2 Kind: B2 Mar 24, 2026

Assignee

Analytics for Life Inc.

Inventors

Paul Grouchy, Meng Lei, Ian Shadforth, Sunny Gupta, Timothy Burton, Shyamlal Ramchandani

Abstract

Phase space tomography methods and systems to facilitate the analysis and evaluation of complex, quasi-periodic system by generating computed phase-space tomographic images and mathematical features as a representation of the dynamics of the quasi-periodic cardiac systems. The computed phase-space tomographic images can be presented to a physician to assist in the assessment of presence or non-presence of disease. In some implementations, the phase space tomographic images are used as input to a trained neural network classifier configured to assess for presence or non-presence of pulmonary hypertension, including pulmonary arterial hypertension.

CPC Classifications

A61B 5/361 A61B 5/316 A61B 5/339 A61B 5/7267 A61B 5/0536 A61B 5/1455 G06N 3/08 G06T 3/4007 G06T 11/006 G06T 2200/08 G06T 2210/41

Filing Date

2022-09-29

Application No.

17936496

Claims

20

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Named provisions

Method and system to assess pulmonary hypertension using phase space tomography and machine learning

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Rule
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12582342B2

Who this affects

Applies to
Healthcare providers Drug manufacturers
Industry sector
3345 Medical Device Manufacturing 6211 Healthcare Providers 3254 Pharmaceutical Manufacturing
Activity scope
Medical Diagnostics
Geographic scope
United States US

Taxonomy

Primary area
Healthcare
Operational domain
Clinical Operations
Topics
Medical Devices Artificial Intelligence

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