SOMATOM go.Now

by Siemens Medical Solutions USA  · Based in United States → — SOMATOM go.Now: Made to match.
Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

The SOMATOM go.Now is a robust and reliable Computed Tomography (CT) system from Siemens Healthineers, designed to provide accessible and high-quality CT imaging with a focus on patient experience and operational efficiency. It integrates innovative mobile workflow solutions and AI-powered automation to streamline daily CT routines and enhance diagnostic capabilities.

This CT scanner features a tablet-based operation and remote control, allowing technologists to remain closer to patients during scan preparation, which can improve patient comfort and satisfaction. The system incorporates ‘GO technologies’ and ‘myExam Companion’, which leverage artificial intelligence for user guidance, automated patient positioning with a gantry-mounted 3D camera, and zero-click reconstructions. These AI-supported workflows aim to increase standardization, reduce workloads, and deliver consistent, high-quality results at low radiation doses.

The SOMATOM go.Now is equipped with advanced imaging components like the Stellar Detector and Tin Filter Technology, which contribute to excellent image quality, especially in challenging areas, while minimizing radiation exposure. It supports a wide range of clinical applications, from routine examinations to more complex procedures like angiography and lung cancer screening, making it a versatile solution for various healthcare settings.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Mobile Workflow (tablet-based operation and remote control)
  • AI-powered Scan Automation (myExam Companion, GO technologies)
  • FAST 3D Camera for AI-powered patient positioning
  • Stellar Detector Technology for high image quality
  • Tin Filter Technology for dose reduction and image optimization
  • Low-dose capabilities (SAFIRE, CARE Dose4D)
  • Zero-Click Reconstructions for automated post-processing
  • Chrononu00ae X-ray tube for robust performance and shorter breath-holds
  • Flexible one-room concept for installation space efficiency
  • DICOM support for integration with hospital information systems

Use Cases

  • Routine diagnostic imaging (thorax, abdomen)
  • Angiography (e.g., central arteries, CTA from perfusion data)
  • Neuro imaging (e.g., stroke, inner ear, routine neuro examinations)
  • Oncology (e.g., lung cancer screening, lesion characterization)
  • Orthopedics (e.g., bony structures, metal artifact reduction)
  • Trauma imaging

Details

Category Radiology & Imaging AI
Pricing Contact for pricing
DeploymentOn-premise (hardware installation)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Yes AI-estimated
Integrations
EHR Not specified
Specialties Radiology

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Videos

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Frequently Asked Questions

The provided text mentions Siemens Healthineers' general commitment to 'Advancing medicine with high-impact AI solutions' and 'From innovation to impact: How AI elevates patient care.' However, specific details about how SOMATOM go.Now itself utilizes AI in radiology imaging are not detailed in the provided official website text.
The official website text states that Siemens Healthineers has 'implemented a modern Compliance Management System in all our entities worldwide' and that 'Only clean business is Siemens Healthineers business.' However, it does not provide specific compliance standards related to AI usage for SOMATOM go.Now.
The provided text indicates that Siemens Healthineers offers a 'comprehensive portfolio' of 'Medical imaging' products and services. While it doesn't list specific alternatives to SOMATOM go.Now, it implies a broader range of imaging solutions.
The provided official website text does not contain any information regarding the pricing or cost of SOMATOM go.Now or any other products.
The provided official website text does not specify any limitations of SOMATOM go.Now, nor does it detail specific AI capabilities for this particular product, making it impossible to outline limitations related to them.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-20 | First Added: 2026-04-20
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