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Siemens Healthineers Patent for Radiation Therapy Plan Generation

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

The USPTO has granted Siemens Healthineers International AG a patent for a method and system for generating radiation therapy treatment plans. The patented technology utilizes machine learning to predict optimal treatment beam entry angles for new patients based on medical image data.

What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12586672B2 to Siemens Healthineers International AG for an "Intelligent treatable sectors for radiation therapy plan generation." The patent details a method involving monitoring a treatment plan optimizer computer model, generating a training dataset from this data, and subsequently training a machine learning model. This model is designed to predict a new range of angles for treatment beam entry for new patients by ingesting their specific medical image data.

This patent represents a novel approach to radiation therapy planning, leveraging AI and machine learning to enhance precision and potentially personalize treatment. While patents do not impose direct regulatory obligations on other entities, they can influence industry standards and future product development. Companies in the medical device and pharmaceutical sectors, particularly those involved in radiation oncology or AI-driven healthcare solutions, should be aware of this patented technology as it may impact their own research, development, and intellectual property strategies.

Source document (simplified)

← USPTO Patent Grants

Intelligent treatable sectors for radiation therapy plan generation

Grant US12586672B2 Kind: B2 Mar 24, 2026

Assignee

Siemens Healthineers International AG

Inventors

Heini Hyvönen, Mikko Hakala, Ville Pietilä, Hannu Laaksonen

Abstract

Disclosed herein are methods and systems for calculating radiation therapy treatment plan (RTTP) including a method that comprises monitoring, by a processor, a treatment plan optimizer computer model to identify a set of treatment plans, where the treatment plan optimizer computer model ingests a set of medical images and predicts each treatment plan comprising a respective range of angles for treatment beam entry; generating, by the processor, a training dataset comprising the monitored data; and training, by the processor, a machine learning model using the training dataset to predict a new range of angles for treatment beam entry for a new patient by ingesting new patient data of the new patient.

CPC Classifications

A61N 5/103 G16H 20/40

Filing Date

2023-03-31

Application No.

18129403

Claims

20

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Named provisions

Intelligent treatable sectors for radiation therapy plan generation

Source

Analysis generated by AI. Source diff and links are from the original.

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US12586672B2

Who this affects

Applies to
Drug manufacturers Medical device makers
Industry sector
3345 Medical Device Manufacturing 3254 Pharmaceutical Manufacturing
Activity scope
Radiation Therapy Planning Medical Imaging Analysis
Geographic scope
United States US

Taxonomy

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

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