RayStation 2023B

by RaySearch Laboratories AB (publ)  · Based in Sweden → — Advancing Cancer Treatment Through Pioneering Software
Oncology
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Regulatory Status Disclosed

Overview

RayStation 2023B is an advanced treatment planning system developed by RaySearch Laboratories AB (publ) for radiation therapy of cancer. It is designed to optimize and streamline the complex process of creating radiation treatment plans for various cancer types and treatment techniques. The system incorporates cutting-edge features, including machine learning and deep learning applications for automated organ segmentation and treatment plan generation, significantly enhancing efficiency and consistency in clinical workflows.

RayStation 2023B supports a wide array of treatment modalities, such as 3D-CRT, Electron therapy, IMRT, Helical Tomotherapy, VMAT, Proton therapy, Carbon-ion therapy, Adaptive radiation therapy, SRS, SBRT, and HDR brachytherapy. Key functionalities include multi-criteria optimization, robust optimization (considering uncertainties in patient setup and density), dose tracking, and adaptive re-planning capabilities. The system aims to provide a unified control center for all treatment planning needs, enabling cancer centers to maximize the value of their existing equipment.

It is important to note that RayStation 2023B is a radiation therapy treatment planning system and not an AI tool for a physician directory, as the initial prompt might have suggested. Its focus is on enhancing the precision and efficiency of cancer treatment planning.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated Treatment Planning (Machine Learning/Deep Learning)
  • Adaptive Radiation Therapy
  • Multi-Criteria Optimization
  • Robust Optimization for Photons, Protons, and Ions
  • Dose Tracking and Adaptive Re-planning
  • Support for 3D-CRT, IMRT, VMAT, Proton, Carbon-ion, Electron, and Brachytherapy
  • Discrete Proton Arc Planning
  • LET Optimization (Linear Energy Transfer)
  • Automatic Field-in-Field Photon Planning
  • Scripting APIs (CPython 3.8 support)
  • Plan Explorer

Use Cases

  • Comprehensive cancer treatment planning
  • Optimizing radiation dose distribution to tumors
  • Minimizing dose to organs at risk
  • Adaptive therapy for anatomical changes during treatment
  • Automating repetitive planning tasks to increase efficiency
  • Research and development of new radiation therapy techniques

What Physicians Need to Know

Key Capabilities
RayStation 2023B offers multi-criteria optimization and full support for 4D adaptive radiation therapy. It incorporates machine learning for automated plan generation and organ segmentation, including deep learning segmentation of CT structures. The system supports a wide array of treatment techniques, such as photon, electron, proton, carbon ion, helium ion, BNCT, and brachytherapy. New features include automatic field-in-field planning for photons, support for discrete proton arcs, and robust optimization based on Linear Energy Transfer (LET). It also provides point-based optimization for brachytherapy plans and improved workflows for dose tracking and replanning. The system is noted for its ultrafast computation speed for dose calculations, often measured in seconds.
Clinical Utility
The system enables highly conformal dose delivery to tumors while minimizing exposure to healthy tissues. Its adaptive therapy capabilities streamline clinical practice by facilitating faster and easier dose tracking and replanning. LET optimization in proton and ion therapy helps reduce potential side effects by lowering LET in risk organs and can increase tumor control probability by focusing high LET particles within tumors for heavy ion treatments. Automation of tasks like plan generation and organ segmentation through machine learning saves time and enhances consistency in treatment planning.
Integration Options
RayStation 2023B is designed for seamless integration with other RaySearch products like RayCare (Oncology Information System) and RayCommand (Treatment Control System). It supports a broad range of treatment machines from various manufacturers, including Varian, Elekta, Siemens, Accuray CyberKnife, and TomoTherapy systems. The system supports DICOM data import and can be integrated with other Treatment Planning Systems (TPS) like Eclipse for AI auto-contouring via scripted workflows.
Compliance Status
RayStation 2023B complies with the Medical Device Regulation (MDR) 2017/745 in the EU. RaySearch Laboratories is an ISO 13485:2016 certified manufacturer of medical device software and is fully compliant with 21 CFR Part 820, US FDA Quality Systems Regulations. All medical device software adheres to ISO 14971, IEC 61217, 62083, 62304, and 62366 standards. The device, RayStation 2023B, has received FDA 510(k) clearance (K240398), indicating it is substantially equivalent to predicate devices. In the US and Canada, machine learning models for treatment planning require clearance from the FDA and Health Canada, respectively, prior to clinical use.
Pricing Model
The specific pricing model for RayStation 2023B is proprietary and not publicly disclosed. Typically, such advanced medical software is offered through licensing agreements, often tailored to the size and needs of the healthcare institution.
User Experience
RayStation aims to provide an unmatched user experience with leading functionality. Users have reported high satisfaction with the system's overall look and feel, layout, performance, and available clinical tools. It is often described as offering a more intuitive planning experience compared to some competing systems and is highly customizable and flexible, particularly with Python scripting. The 2023B version includes an improved patient data management workspace user interface and faster data loading.
Support Quality
RaySearch provides support for incidents and errors via email and local support organizations. While user satisfaction with the system is high, feedback on training has been mixed, suggesting that additional training resources could further enhance efficiency.
Implementation Complexity
Implementing RayStation 2023B typically involves a dedicated project team to establish the necessary infrastructure, including updated computing hardware, enhanced network capabilities, and ensuring interoperability with existing departmental clinical systems and devices. Potential complexities include managing file type compatibility, interface protocols, and firewall configurations between interconnected systems.
Evidence Base
RaySearch has a long-standing commitment to research, with two decades of work in adaptive replanning. The system's dose calculation and treatment planning capabilities have undergone validation for various LINAC models and treatment techniques, including VMAT, static MLC, and wave arc plans. There is a substantial body of scientific publications supporting RayStation's features, covering areas such as carbon and helium planning, RBE modeling, deformable registration, CBCT-based dose calculation, dose tracking, autosegmentation, machine learning, and robust optimization. The Monte Carlo dose engine for protons has also been detailed in research.
Physician Tip

Leverage RayStation 2023B's advanced AI for automated segmentation and plan generation to significantly streamline your workflow and enhance consistency. Maximize the robust optimization features, especially for Linear Energy Transfer (LET) in particle therapy, to achieve superior treatment precision and minimize potential side effects. Actively utilize the adaptive therapy capabilities for continuous dose tracking and replanning, ensuring treatment efficacy throughout the patient's course. Explore the extensive scripting options to customize the system and integrate it seamlessly with your existing clinical environment, optimizing for specific departmental needs. Always be mindful of the regulatory clearances required for machine learning models, particularly in the US and Canada, before clinical deployment.

RayStation 2023B is engineered for deep integration within the RaySearch ecosystem (RayCare, RayCommand) and supports a wide array of third-party treatment delivery systems. While it offers advanced interoperability, successful integration with non-RaySearch systems may necessitate careful planning, custom scripting, and meticulous attention to interface protocols and data compatibility to ensure a smooth and efficient workflow.

Details

Category Oncology AI
Pricing Contact vendor for pricing — Custom pricing based on modules and deployment; contact vendor for a quote.
DeploymentOn-premise (Microsoft Windows environment with Microsoft SQL Server)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

RayStation has received multiple FDA 510(k) clearances, including for versions incorporating machine learning functionalities (e.g., RayStation 8B in 2019). Specifically, K240398 is a 510(k) premarket notification for RayStation 2023B, RayPlan 2023B, RayStation 2024A, RayPlan 2024A, RayStation 2024A SP3, and RayPlan 2024A SP3, with RaySearch Laboratories AB (PUBL) as the applicant.
Integrations
EHR Not specified
Specialties Oncology

What the Web Says

RayStation 2023B is a comprehensive treatment planning system for radiation oncology, highly regarded by medical physicists and radiation oncologists for its efficiency, intuitive interface, and advanced capabilities. It aims to improve treatment quality, speed up planning processes, and offer robust tools for complex cases and adaptive therapy. The 2023B version specifically enhances workflows for dose tracking and replanning, and introduces innovative features for particle therapy, including support for discrete proton arcs and robust optimization based on linear energy transfer (LET).

Overall: Positive

Strengths

  • Improved workflows for dose tracking and replanning.
  • Innovative features for particle therapy, including discrete proton arcs and LET optimization.
  • High efficiency and streamlined workflows, allowing for more patients to be treated.
  • Intuitive and user-friendly interface.
  • Advanced capabilities like multi-criteria optimization (MCO), deep learning segmentation, and adaptive therapy.
  • Extensive interoperability and integration with various treatment delivery systems and OIS.

Limitations

  • Some features may not be utilized in all clinics.
  • Potential for an unauthorized user to authenticate if a workstation is left unattended with single sign-on.
  • Requires careful verification of couch shifts and accessory codes before clinical use.
  • User-defined overrides for material properties or safety parameters need thorough review.
  • Discrepancies between Pareto optimal and final deliverable plans have been noted in comparative studies.
  • Varian's ecosystem can make integration with RayStation painful.

Based on reviews from: RaySearch Laboratories, Imaging Technology News, Reddit, AuntMinnie, Physician AI Tools, Accuray, PR Newswire, Inderes.dk, PubMed Central (PMC)

Last updated: 2026-07-19

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Press & Coverage

RaySearch Laboratories
RaySearch releases RayStation 2023B
RaySearch Laboratories announced the launch of RayStation 2023B, featuring enhanced workflows for dose tracking and adaptive replanning, discrete proton arcs, and robust optimization based on linear energy transfer (LET) for particle therapy.
2023-07
PR Newswire
RaySearch releases RayStation 2023B
RaySearch Laboratories launched RayStation 2023B, its latest oncology treatment planning system, which includes new features for adaptive replanning, discrete proton arcs, and robust LET optimization for proton and ion therapy.
2023-07
AuntMinnie
RaySearch releases new version of RayStation
RaySearch Laboratories released RayStation 2023B, an updated cancer treatment planning system that improves dose tracking and replanning workflows and introduces support for discrete proton arcs and robust optimization based on linear energy transfer (LET).
2023-07
RaySearch Laboratories
Latest innovations in RayStation, RayCare and RayIntelligence to be presented at ASTRO 2023
RaySearch showcased RayStation 2023B at ASTRO 2023, highlighting its support for automatic field-in-field planning for photons, point-based optimization of brachytherapy plans, and more efficient data loading.
2023-09
Imaging Technology News
Latest innovations in RayStation, RayCare and RayIntelligence to be presented at ASTRO 2023
RaySearch presented RayStation 2023B at ASTRO 2023, emphasizing its advancements in dose tracking, adaptive replanning, proton arc support, and robust optimization based on linear energy transfer (LET) for particle therapy.
2023-09
RaySearch Laboratories
RAYSTATION 2023B IS HERE. SEE WHAT'S NEW!
RayStation 2023B introduces automatic field-in-field photon planning, robust LET optimization for protons and carbon ions, and discrete proton arc planning, along with numerous other system improvements.
unknown
Fred Hutch
The Beam: holiday coping tips and proton therapy upgrades for the new year
Fred Hutch and UW Medicine's Department of Radiation Oncology updated their RayStation software to 2023B, noting its enhancements, particularly discrete proton arcs and robust optimization based on linear energy transfer (LET) for proton therapy.
2023-12
FDA
K240398 - 510(k) Premarket Notification
The FDA lists RayStation 2023B among other versions in a 510(k) Premarket Notification, indicating regulatory submission by RaySearch Laboratories AB (PUBL).
2026-01

Videos

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Frequently Asked Questions

RayStation 2023B integrates AI through deep learning segmentation for CT structures and deep learning-based dose prediction, which significantly automates and speeds up the treatment plan generation process. This allows clinicians to spend less time on repetitive tasks and more time on complex cases and patient consultations, improving consistency and efficiency in planning.
In the United States, machine learning models for treatment planning in RayStation 2023B must be cleared by the FDA prior to clinical use. Similarly, in Canada, these models require clearance from Health Canada, and the system complies with the Medical Device Regulation (MDR) 2017/745 in the European Union. RaySearch validates these models, and clinics are responsible for commissioning them on local data before live implementation.
Physicians should be aware that certain advanced features, such as carbon and helium ion treatment planning, may not be available in all regions due to regulatory reasons. While AI augments planning capabilities by providing intelligent suggestions and automating tasks, it is crucial for clinicians to maintain oversight and commission models on local data to ensure performance aligns with clinical standards.
RayStation 2023B is recognized for its advanced multi-modality treatment planning, including photons, electrons, protons, and adaptive radiotherapy workflows, with integrated AI for auto-planning and deep learning segmentation. While competitors like Varian's Eclipse (with RapidPlan) and Brainlab Elements also offer AI-driven contouring and planning, RayStation emphasizes comprehensive adaptive therapy capabilities and multi-criteria optimization.
RayStation is a medical device software system, and as such, it is designed with robust security measures to protect patient data. It uses a hardware-based license protection system and relies on secure software platforms and databases. Compliance with regulations like MDR 2017/745 also mandates stringent data protection and privacy protocols.
Specific pricing and licensing models for RayStation 2023B, including its AI modules, are not publicly disclosed by RaySearch Laboratories. Typically, such specialized medical software involves direct consultation with the vendor to obtain a quote tailored to the institution's specific needs, configurations, and required modules. Some modules may require additional licenses beyond the standard configuration.
RayStation 2023B's AI features, such as deep learning segmentation and dose prediction, are integrated directly into the system to streamline workflows. This allows for faster generation of treatment plans and improved dose tracking and adaptive replanning workflows. The system is designed to work in conjunction with RayCare, an oncology information system, to provide automated task management and seamless access to planning tools.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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