Equipment

• Care for your patient
  High quality images with precise dose control
  Care for your workload
• Streamlined operations with simplified workflow
  Care for your budget
• Tailored configurations to fit your needs

• Increased productivity and throughput
  Serve more patients with comfort and convenience using Smart Control
• Diagnostic confidence
  Rely on GC85A to capture precise, clear images that result in accurate diagnoses with wireless S-Detector™ and S-Align™
• TReduced operating costs and downtime
  Improve cost efficiency and deliver uninterrupted patient care with S-Share™ compatibility

• Motorized Auto-tracking
  You can reduce workflow steps by half with Auto-tracking
• Superior image quality
  Boost your diagnostic confidence with Samsung S-Detector™ and S-Vue

• Auto-positioning
  The fully automated swiveling arm can be positioned with a few THU clicks
• Superior image quality
  Boost your diagnostic confidence with Samsung S-Detector™ and S-Vue

• Ultimate driving experience
  Ultra-compact, ultra-light design of the GM85 allows advance mobility even in the tight spaces
• Innovative enhanced usability
  S-Align allows precise alignment and enhances the image quality by displaying the detector's angle on the THU
• Superior image quality
  Improve clarity of tube and line in companion image with single on-screen click

Portable 8-slice CT scanner delivers highest quality head and neck scans in any location.

Portable, full-body 32-slice CT scanner transforms any room into an advanced imaging suite

• Upgrading CR system to a superior DR system
  Reduce your workflow steps, cost and time with Samsung GR40CW
• Superior image quality
  Boost your diagnostic confidence with Samsung S-Detector and S-Vue

• Volume rendering technology for accurate measurement
  S-3D Arterial Analysis measures artery plaque volume and tracks morphological changes. It helps accurate, early detection of cardiovascular diseases.
• Evolving detection tool for lesion analysis
  S-Detect™ for breast provides the characteristics of displayed lesion and a recommendation on whether the lesion is benign or malignant by adopting deep learning detection algorithm.