Radiation Planning Assistant

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Company Name

MD Anderson Cancer Center

Product URL

https://rpa.mdanderson.org/

Company URL

https://www.mdanderson.org

Categories

Summary

The Radiation Planning Assistant (RPA) is a web-based AI tool developed by MD Anderson Cancer Center to automate radiotherapy treatment planning, aiming to enhance access to high-quality care in low- and middle-income countries (LMICs).

Description

The Radiation Planning Assistant (RPA) is a web-based artificial intelligence (AI)-assisted tool developed by MD Anderson Cancer Center. It offers automated contouring and planning solutions for various radiotherapy indications, including head and neck, chest wall, and cervix treatments. Designed in collaboration with clinics in LMICs, the RPA aims to provide these services at no cost to clinics that would otherwise lack access. It received FDA 510(k) clearance in 2023 and launched clinically in 2024. The RPA is powered by AI tools for preparation and contouring tasks, with plan optimization and dose calculation performed in the Eclipse Treatment Planning System (Varian Medical Systems). The system performs quality assurance checks to flag suspicious contours or plans for further investigation. Final plans must be reviewed and recalculated in the user's local treatment planning system before clinical use. The RPA is currently in a testing period, with access by invitation only. ([rpa.mdanderson.org](https://rpa.mdanderson.org/?utm_source=openai))

Api Available

unknown

Certifications

Company Founding

1941

Company Offices

Compliance

Customers

Data Residency

US

Data Standards

Deployment Model

Features

Id

SW0353

Integration Partners

Integrations

Languages Supported

Last Updated

2025-10-11

License

Commercial

Market Segment

Optional Modules

Os Platforms

Pricing Details

No cost to clinics in LMICs; contact vendor for more information.

Pricing Model

Free

Privacy Features

Product Code

SW0353

Product Name

Radiation Planning Assistant

Ratings

Regions Available

Related Urls

Release Year

2025

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON