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Critical Care Suite on mobile and fixed x-ray systems | GE Healthcare

On device artificial intelligence. Helping you when every minute counts.

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Critical Care Suite is a collection of AI algorithms embedded on X-ray systems for automated measurements, detection and triage of critical cases, 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

The first on-device AI solution that helps assess Endotracheal Tube positioning

Critical Care Suite on mobile and fixed x-ray systems | GE Healthcare

Test drive the Critical Care Suite on the GE X-ray AI Portal with eitherconfirmed pneumothorax and/or misplaced endotracheal tubecases and see how AI algorithms can assist.An European challenge is open until 29 April 2022!

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 cm 7 .
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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
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Pneumothorax Detection and Triage

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

The Pneumothorax detection 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.
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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
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Listen to your peers

Listen to your peers from University of California, San Francisco, Humber River Hospital, Mahajan Imaging, and St Luke's University.

“The benefit of having the AI algorithm is ultimately better patient care. Better encompasses a number of sub-facets, the most important of which is accurate results.”

Dr. Karl Yaeger

Diagnostic Radiologist, St. Luke’s University Health Network

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COVID-19 Case Study

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

Download Case Study

Supporting Materials

CCS2

Discover the testimonial by Dr. Montesinos at the Valme University Hospital. She was one of the many doctors on the frontline at the beginning of the Covid19 pandemic.

Algorithm Performance Study

Results from a stand-alone algorithm performance evaluation study

COVID-19 Case Study

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

Critical Care Suite 2.0 Brochure
Critical Care Suite 2.0 and Analytics Bibliography

A set of publications about research and development (R&D) of AI algorithms such as CCS 2.0 for Endotracheal Tube Placement.

REFERENCES

  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

Have a question? We would love to hear from you.

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