Critical Care Suite 2.0*

Critical Care Suite is a collection of AI algorithms embedded on X-ray systems for automated measurements, case prioritization and quality control.
Critical Care Suite is a collection of AI algorithms embedded on X-ray systems for automated measurements, case prioritization and quality control.
In these challenging times, every minute counts when dealing with high-risk procedures such as tracheal intubation1 and critical conditions including pneumothorax.

  • Critical Care Suite 2.0*

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.

Endotracheal Tube Positioning*

As many as 25% of intubations outside of the operating room result in mispositioned ET Tubes, which can lead to severe complications2-6.

Critical Care Suite’s Endotracheal Tube Positioning AI algorithm is now available on AMX 240 mobile X-ray systems.

  • Confidence at Point of Care

    • Provides an accurate and automated measurement of ET Tube position on the mobile X-ray device within seconds of image acquisition
    • The vertical distance of the tube tip and the carina is automatically calculated and displayed on device.
    • In 94% of cases the ET Tube tip-to-Carina distance calculation is accurate to within 1.0 cm7.

  • ET Tube Cases at a Glance

    • Enables immediate access to AI-derived measurements in PACS worklist via configurable DICOM® tags
    • Displays AI-generated measurements with an image overlay in PACS

Pneumothorax Triage and Notification

On-device AI solution that can help triage critical conditions, such as pneumothorax, alleviating the overwhelming demand that urgent X-rays are placing on radiology teams.

The Pneumothorax Notification is included in Critical Care Suite 2.0 and is available on AMX 240 mobile X-ray systems as well as Definium™ 656 HD and Definium 646 HD fixed X-ray systems.

  • High Accuracy8

    • Detects nearly all large pneumothoraces (96% sensitivity).
    • Identifies 3 out of 4 small pneumothoraces (75% sensitivity).
    • Limits false alerts (94% specificity).
    • An Area Under Curve (AUC) of 0.96.

  • Triage Notifications

    • Sends a secondary capture DICOM image to PACS and presents the AI results to the radiologist
    • Image flags help enable worklist prioritization and have the potential to expedite review of critical findings
“The Critical Care Suite using AI to improve the speed of detection of pneumothoraces is an excellent example of how the use of modern technology will have a real impact on the delivery of medical care.”
Prof Fergus GleesonCMO NCIMI, Consultant Radiologist, Head of Academic Radiology, Director of the Oxford Imaging Trials Unit, Divisional Director for the Oxford University Hospitals NHS Trust, UK
Dr Alex NovakConsultant in Emergency Medicine and Ambulatory CareOxford University Hospitals NHS Trust, UK

Quality Care Suite

"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

  • Listen to your peers

“The Critical Care Suite provided a useful adjunct to the identification of pneumothorax in the setting of Cardiothoracic Surgery. Pneumothorax in the setting of Cardiothoracic Surgery is common and despite the requirement for intensive monitoring in the peri-operative setting, the Critical Care Suite was able to identify pneumothoraces with a high level of accuracy.”
Elizabeth BelcherConsultant Cardiothoracic Surgeon,Oxford University Hospitals, NHS Trust
Steve BarrySenior Radiographer,Oxford University Hospitals NHS Trust, UK

  • 1. Original raw acquired image

  • 2. Intelligent auto rotate

    Assists technologist by auto rotating a frontal chest x-ray image to have the heads up orientation.

  • 3. Intelligent protocol check

    Automated quality check to detect in real time and notify the technologist on the acquisition if an improper protocol was used.

  • 4. Intelligent field of view

    Accurate detection of lung field clipping in a frontal chest x-ray exam.

  • 5. Critical Care Suite notifications on AMX 240

    A clickable ruler icon indicates to the technologist that Critical Care Suite detected an ET Tube

  • 6. ET tube positioning AI algorithm output

    On-device AI viewer displays an automated measurement of ET tube position vs the carina within seconds of image acquisition

  • 7. Pneumothorax notification

    If the exam has a suspicious finding for PTX, a yellow flag icon indicates to the technologist that the image was flagged by CCS for Radiologist review within PACS**

  • 8. Image management with CCS notifications

    List of completed exams on the x-ray system with a corresponding flag to identify which cases Critical Care Suite flagged in PACS.

  • 9. Critical Care Suite secondary DICOM sent to PACS

    A secondary capture DICOM image is sent to PACS with the original diagnostic image and contains the AI findings for the radiologist review

COVID-19 Case Study

Download Case Study

Supporting Materials

Algorithm Performance Study

Results from a stand-alone algorithm performance evaluation study
Download

COVID-19 Case Study

Critical Care Suite enables expedited treatment of a spontaneous pneumothorax in an intubated COVID-19 patient
Download

Critical Care Suite 2.0 Brochure

Download

Related products

* Not cleared or approved by the FDA. Distributed in accordance with FDA imaging guidance regarding COVID-19 public health emergency.

** The technologist notification is generated 15 mins after exam closure. It is contextual and does not provide any diagnostic information. The on-device, technologist notification is not intended to inform any clinical decision, prioritization, or action.

  1. Stephen E. Lapinsky. Endotracheal intubation in the ICU. Crit Care. 2015; 19(1): 258.
  2. Jemmett ME, Kendal KM, Fourre MW, Burton JH. Unrecognized misplacement of endotracheal tubes in a mixed urban to rural emergency medical services setting. Acad Emerg Med 2003;10:961–5.
  3. Katz SH, Falk JL. Misplaced endotracheal tubes by paramedics in an urban emergency medical services system. Ann Emerg Med 2001;37:32–7.
  4. Lotano R, Gerber D, Aseron C, Santarelli R, Pratter M. Utility of postintubation chest radiographs in the intensive care unit. Crit Care 2000;4:50–3.
  5. McGillicuddy DC, Babineau MR, Fisher J, Ban K, Sanchez LD. Is a postintubation chest radiograph necessary in the emergency department? Int J Emerg Med 2009;2:247–9.
  6. Rachh, Pratik, et al. “Reducing STAT Portable Chest Radiograph Turnaround Times: A Pilot Study.” Current problems in diagnostic radiology (2017).
  7. GE Healthcare Data on File
  8. FDA 510(k) K183182