USPTO Patent Grant: Pulmonary Hypertension Assessment System
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)
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
Named provisions
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