Critical Care Suite

Critical Care Suite is a first-of-its-kind collection of AI algorithms for triage and quality control embedded on an X-ray system.

510(k) cleared: K183812

Critical Care Suite is a first-of-its-kind collection of AI algorithms for triage and quality control embedded on an X-ray system.

510(k) cleared: K183812


Today’s radiologists are under tremendous pressure to read an ever-increasing number of images and provide rapid diagnoses. When x-ray exams alone contribute to 60 percent of imaging performed1 and the majority of STAT-routed cases, it's critical to identify which exams are urgent and will negatively impact patient care if not read immediately.

GE Healthcare X-ray
AI Portal

Test drive the Critical Care Suite on the GE X-ray AI Portal. Upload chest X-ray images
and experience the artificial intelligence algorithms online.

Critical Care Suite

GE Healthcare has developed a revolutionary new tool that is designed to quickly identify and help prioritize critical cases such as Pneumothorax.

Quality Care Suite

Quality Care Suite operates in parallel to system image processing to provide real-time quality alerts.
"We are overall very happy with the performance of the algorithm and currently using it for routine patient care. CCS represents the easiest implementation of novel radiology software, specifically AI-integration, that I have encountered in my career."
Amit Gupta, M.D.Cardiothoracic Radiologist and Modality Director of Diagnostic RadiographyUniversity Hospitals Cleveland Medical Center and Assistant Professor or Radiology at Case Western Reserve University, Cleveland
Dr. Bharat AggarwalDirector of RadiologyMax Super Specialty Hospital Saket, New Delhi, India

AMX™ 240 with Critical Care Suite

  • Listen to your peers

Critical Care Suite in action

Critical Care Suite automatically scans images immediately upon acquisition in the x-ray system for critical findings (pneumothorax) without requiring additional infrastructure or IT networking to implement the AI solution. The x-ray artificial intelligence notifications arrive in PACS at the exact same time as the original DICOM images, causing no additional delay or processing time, enabling escalation of image review and shorter turn-around times for prioritized cases. This enables case prioritization of suspected Pneumothorax (PTX) cases to the Radiologist. Designed to optimize x-ray image management and enhance triage notification procedures, Critical Care Suite utilizes on-device artificial intelligence to prioritize pneumothorax detection.

COVID-19 Case Study

Case Studies

Case 1: Delayed, small PTX detected by CCS
  • A 59-year-old male with H/O ESRD, A-fib on warfarin, HFREF and OSA status post unsuccessful attempt at left subclavian approach dual chamber ICD placement, due to likely occluded left axillary/subclavian vein.
  • Initial post procedure stat radiograph was negative for PTX (A).
    Next day routine (non-st...

Supporting Materials

Algorithm Performance Study

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COVID-19 Case Study

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Critical Care Suite Brochure

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Critical Care Suite Data Sheet

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Related products

  1. World Health Organization Report -Communicating Radiation Risks in Pediatric Imaging
  2. K183182
  3. The tech notification is generated 15 mins after exam closure. It is contextual and does not provide any diagnostic information. The on-device, tech notification is not intended to inform any clinical decision, prioritization, or action.
  4. GE Healthcare Data on File
  5. Younis, K., al. (2019). Leveraging Deep Learning Artificial Intelligence in Detecting the Orientation of Chest X-ray Images. SIIM Conference on Machine Intelligence in Medical Imaging (C-MIMI), Oral Presentation.