AI-Rad Companion Organs RT
Overview
AI-Rad Companion Organs RT is an intelligent software assistant from Siemens Healthineers designed to automate the contouring of organs at risk (OARs) in radiation therapy planning. Leveraging deep-learning artificial intelligence algorithms, it significantly reduces the time and effort traditionally required for manual contouring on computed tomography (CT) and magnetic resonance (MR) images.
This solution aims to enhance workflow efficiency, improve consistency in OAR contours, and standardize clinical processes in radiation oncology. It supports various body regions, including the head and neck, thorax, abdomen, and pelvis.
Integrated seamlessly into existing clinical workflows via the teamplay digital health platform, AI-Rad Companion Organs RT provides automatic post-processing of imaging datasets and delivers results for review, confirmation, and inclusion in final reports or care pathways.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated Organs-at-Risk (OAR) contouring using deep learning AI.
- Support for CT and MR imaging data.
- Covers various body regions: head & neck, thorax, abdomen, pelvis.
- Seamless integration into radiation therapy planning workflows.
- Cloud-based deployment via teamplay digital health platform.
- May reduce manual contouring time by approximately 50%.
- Aims to improve contour consistency and reduce inter-user variability.
- Supports customizable organ template configurations.
- Outputs in DICOM RTSTRUCT objects.
- Not intended for automatic lesion detection or as a standalone diagnostic device.
Use Cases
- Accelerating radiation therapy planning by automating OAR contouring.
- Improving consistency and quality of OAR contours for precise radiation dosage.
- Reducing the burden of repetitive tasks for radiation therapists and oncologists.
- Standardizing contouring protocols across different individuals and institutions.
- Facilitating precision medicine in cancer care.
- Supporting multi-site and multi-vendor scalability in clinical environments.
What Physicians Need to Know
AI-Rad Companion Organs RT significantly streamlines OAR contouring, allowing more focus on complex cases and patient care. Always review and, if necessary, edit the AI-generated contours within your Treatment Planning System to ensure accuracy and alignment with institutional protocols. Leverage the 'Trial Light' to familiarize yourself with the algorithm's quality before full implementation. The multi-modality support (CT and limited MR) enhances its versatility in radiation therapy planning.
The tool's DICOM compliance ensures broad compatibility with existing imaging infrastructure and Treatment Planning Systems, promoting a vendor-agnostic workflow for CT data. Its cloud-based deployment via the teamplay digital health platform facilitates scalable and secure access. While CT data integration is highly flexible, note that MR contouring is primarily validated for Siemens Healthineers' scanner data. Ensure your current TPS and interactive contouring applications are compatible for seamless review and editing of the AI-generated RTSTRUCT outputs.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing | Contact vendor for pricing — Pricing not publicly disclosed; requires direct quote from manufacturer. |
| Deployment | Cloud-based, deployed via the teamplay digital health platform. Hybrid cloud/local processing deployment options are also available. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated AI-Rad Companion Organs RT received FDA clearance on November 30, 2020. It is a post-processing software intended to automatically contour DICOM CT and MR pre-defined structures using deep-learning-based algorithms for radiation therapy treatment planning. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology |
What the Web Says
AI-Rad Companion Organs RT is generally viewed as a promising tool for automating contouring in radiation therapy planning, aiming to improve efficiency and consistency. While it offers significant advantages in reducing manual workload, some users note a learning curve and the need for careful validation of its AI-generated contours.
Overall: PositiveStrengths
- Automates contouring for multiple organs at risk, saving significant time for radiation oncologists.
- Enhances consistency and standardization of contouring across different users and cases.
- Reduces inter-observer variability in organ-at-risk delineation.
- Potential to shorten overall treatment planning time.
- Integrates with existing Siemens Healthineers ecosystems.
- Aids in managing increasing patient loads by streamlining a time-consuming step.
Limitations
- Requires thorough validation of AI-generated contours by a physician, as errors can occur.
- Initial setup and integration into existing workflows may require IT support and training.
- Some users report a learning curve to fully trust and efficiently utilize the AI's suggestions.
- Specific organ contouring accuracy may vary depending on image quality and patient anatomy.
- Dependency on Siemens Healthineers ecosystem might be a limitation for some clinics.
- Potential for over-reliance on AI, leading to a decrease in manual contouring skills over time.
Based on reviews from: Siemens Healthineers product information, Clinical studies and publications (e.g., European Journal of Medical Physics), Healthcare IT forums and discussions, Physician reviews and testimonials (e.g., from professional conferences or webinars), Radiology and Oncology professional communities
Last updated: 2026-07-19
Ratings & Reviews
No reviews yet. Be the first to review this tool!
Rate AI-Rad Companion Organs RT
Press & Coverage
Videos
Product demos, reviews, and walkthroughs for AI-Rad Companion Organs RT.
2026 Imaging Conference and Expo Recap
