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AI Dose Computation for Radiation Therapy Using Medical Images

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Summary

The USPTO has published a patent application detailing an AI system for calculating radiation therapy doses using medical images. The application, filed by Martin Kraus and colleagues, describes a method that uses machine learning to determine multi-field doses based on patient images and fluence maps.

What changed

This document is a USPTO patent application (US20260088151A1) for a "SINGLE-SHOT MANY-FIELD AI DOSE COMPUTATION FOR RADIATION THERAPY." The application describes systems and methods that utilize machine learning to determine a multi-field radiation therapy dose for patients. It involves receiving medical images and fluence maps, determining fluence-related information, aggregating this information, and then using a machine learning-based dose prediction network to output the multi-field dose.

This patent application does not impose immediate regulatory obligations. However, it signifies potential future technological advancements in radiation therapy treatment planning. Companies involved in medical imaging, radiation oncology equipment, and AI-driven healthcare solutions should monitor the progress of this patent and similar innovations, as they may influence future product development and treatment standards in the oncology sector.

Source document (simplified)

← USPTO Patent Applications

SINGLE-SHOT MANY-FIELD AI DOSE COMPUTATION FOR RADIATION THERAPY

Application US20260088151A1 Kind: A1 Mar 26, 2026

Inventors

Martin Kraus, Simon Arberet, Riqiang Gao, Florin-Cristian Ghesu, Ali Kamen

Abstract

Systems and methods for determining a multi-field dose for radiation therapy are provided. 1) one or more medical images of a patient and 2) a fluence map for each of a plurality of fields for radiation therapy of the patient are received. Fluence-related information is determined for each of the plurality of fields based on the fluence maps. The fluence-related information for the plurality of fields are aggregated. A multi-field dose for the patient is determined based on the one or more medical images and the aggregated fluence-related information using a machine learning based dose prediction network. The multi-field dose is output.

CPC Classifications

G16H 20/40

Filing Date

2024-09-25

Application No.

18895899

View original document →

Named provisions

Inventors Abstract CPC Classifications Filing Date Application No.

Classification

Agency
USPTO
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260088151A1

Who this affects

Applies to
Drug manufacturers Medical device makers Healthcare providers
Industry sector
3254 Pharmaceutical Manufacturing 3345 Medical Device Manufacturing 6211 Healthcare Providers
Activity scope
Radiation Therapy Planning 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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