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AI Histological Fingerprinting Patent Granted to Siemens Healthineers

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

The USPTO has granted patent US12584984B2 to Siemens Healthineers AG for an AI-powered histological fingerprinting system. This patent covers methods for using AI to analyze magnetic resonance imaging data to map tissue microstructure, enhancing diagnostic capabilities.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12584984B2 to Siemens Healthineers AG. This patent covers systems and methods for AI-powered histological fingerprinting, which uses machine learning to analyze magnetic resonance imaging (MR) signal data and ground truth tissue microstructure data. The technology aims to generate a dictionary or train a model to map MR signals to histological parameters, including tissue microstructure, and includes a signal-to-signal translation model for improved sensitivity.

This patent grant represents a new technological development in medical imaging and diagnostics. While it does not impose direct compliance obligations on other entities, it signifies innovation in AI applications within healthcare. Companies operating in the medical device and diagnostic imaging sectors, particularly those developing AI-driven solutions, should be aware of this granted patent as it may impact future product development and intellectual property strategies.

Archived snapshot

Mar 26, 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

AI-powered histological fingerprinting

Grant US12584984B2 Kind: B2 Mar 24, 2026

Assignee

Siemens Healthineers AG

Inventors

Mahmoud Mostapha, Dorin Comaniciu, Mariappan S. Nadar

Abstract

Systems and methods for AI-powered histological fingerprinting in magnetic resonance imaging. MR signal data of an object is acquired using a high sensitivity scanner. Ground truth tissue microstructure data is acquired for the object. A forward model is learned using machine learning. The forward model is used to generate a dictionary or to train a model to map the signals to the histological parameters including the tissue microstructure of a scanner object. A signal-to-signal translation model is also provided to provide signals with improved sensitivity.

CPC Classifications

A61B 5/055 G01R 33/5608

Filing Date

2023-08-03

Application No.

18364498

Claims

8

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Last updated

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12584984B2

Who this affects

Applies to
Drug manufacturers Medical device makers Healthcare providers
Industry sector
3345 Medical Device Manufacturing 6211 Healthcare Providers
Activity scope
Diagnosis & Surgery Medical Imaging Analysis
Geographic scope
United States US

Taxonomy

Primary area
Healthcare
Operational domain
Research & Development
Topics
Artificial Intelligence Medical Devices

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