SOMATOM go.Sim
Overview
SOMATOM go.Sim is an advanced Computed Tomography (CT) simulator developed by Siemens Healthineers, specifically designed to enhance precision and efficiency in radiation therapy planning. This integrated hardware and software solution aims to minimize errors and streamline complex workflows, ultimately reducing the time to treatment and improving patient outcomes.
The system incorporates artificial intelligence capabilities, including AI-powered Organ-at-Risk (OAR) autocontouring (DirectORGANS), which optimizes image reconstruction for deep learning algorithms to deliver consistent and high-quality contours. It features a mobile workflow, allowing radiation therapists to control the system via a tablet, enabling them to spend more time with patients and reducing anxiety. Integrated lasers (Direct Laser) facilitate streamlined patient marking and quality assurance.
SOMATOM go.Sim supports advanced imaging techniques such as 4D CT scanning with respiratory motion control (FAST 4D, Direct Intelligent 4D) to minimize motion artifacts, crucial for accurate treatment planning. Other features include iMAR for metal artifact reduction and TwinSpiral Dual Energy for superior soft-tissue contrast. The system boasts an 85 cm bore, accommodating various positioning accessories and enhancing patient comfort during simulation. It is built to provide a calming environment for patients and a user-friendly experience for staff, contributing to increased workforce productivity and optimized clinical operations.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered Organ-at-Risk (OAR) autocontouring (DirectORGANS)
- Integrated hardware and software solution for CT simulation
- Mobile workflow with tablet control (myExam Companion, Scan&GO)
- Integrated lasers for precise patient marking (Direct Laser)
- 4D CT scanning and respiratory motion management (FAST 4D, Direct Intelligent 4D)
- iMAR (iterative Metal Artifact Reduction) algorithm
- TwinSpiral Dual Energy for enhanced soft-tissue contrast
- DirectSPR for particle therapy planning
- 85 cm gantry bore for patient comfort and accessory accommodation
- Streamlined, error-reducing workflows
Use Cases
- Radiation therapy planning and simulation
- Tumor delineation and dose calculation
- Automated Organ-at-Risk (OAR) contouring
- Patient positioning and marking for treatment
- Low-dose lung cancer screening (as part of CT system indications)
- Reducing motion artifacts in 4D CT imaging
What Physicians Need to Know
Leverage the AI-powered DirectORGANS for consistent and efficient OAR contouring to significantly reduce planning time and variability. Utilize the mobile workflow and patient-centric design to enhance patient comfort and communication during the simulation process. Pay attention to the optimized image quality and artifact reduction features (iMAR, FAST 4D) for precise target delineation, especially in challenging cases. The integrated nature of the system aims to streamline the entire CT simulation workflow, which can lead to faster treatment initiation.
The SOMATOM go.Sim is designed as a fully integrated hardware and software solution, minimizing the need for disparate systems. Its compatibility with DICOM, HL7, and IHE-RO standards ensures seamless data transfer to existing Treatment Planning Systems (TPS). The integrated Direct Lasers and post-processing software further enhance workflow integration, reducing manual steps and potential errors in the radiation therapy planning process.
Details
| Category | Oncology AI, Radiology & Imaging AI |
| Pricing |
Contact for pricing
|
| Deployment | On-premise (physical CT scanner system) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated SOMATOM go.Sim is part of the SOMATOM go. Platform CT Scanner Systems (K233650) cleared by the U.S. FDA on March 26, 2024. It is classified as a Computed Tomography X-ray System (21 CFR §892.1750, Class II, Product Code JAK). The system is intended for generating and processing cross-sectional images for diagnosis, treatment, radiation therapy planning, diagnostic/therapeutic interventions, and low-dose lung cancer screening in high-risk populations. |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology |
What the Web Says
The Siemens Healthineers SOMATOM go.Sim is a dedicated CT simulator designed to optimize radiation therapy (RT) workflows by enhancing efficiency, minimizing errors, and reducing treatment preparation time. It features integrated hardware and software, including AI-powered contouring and a mobile workflow, aiming to improve both patient experience and user operations. The system is built to deliver reproducible and user-independent results, providing precise contouring and image optimization for target delineation.
Overall: MixedStrengths
- Streamlined and error-free CT simulation workflows
- AI-powered organs-at-risk (OAR) contouring (DirectORGANS) for consistent and precise results
- Mobile workflow with a single tablet for increased flexibility and more time with patients
- Improved patient experience with a calming environment and patient-centric design
- Reduced radiation dose with low-dose technology and specific protocols for lung cancer screening and pediatric patients
- Integrated lasers with automated QA for time-saving and error avoidance
Limitations
- External lasers are not adjustable by users and require service calls if they drift
- Siemens CTs can be significantly more expensive than similarly specced competitors (e.g., GE)
- Customer support for radiation therapy specific issues has been criticized as slow and requiring multiple layers of contact
- One diagnostic physicist expressed deep dissatisfaction, calling it a 'sham of a scanner'
- Potential connectivity issues with external laser systems due to network communication
Based on reviews from: Siemens Healthineers, Reddit, Scribd, healthcare-in-europe.com, FDA, NC DHHS, Innolitics, Adaderana Biz English, Journal of Medical Physics, AKJournals
Last updated: 2026-07-19
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