Critical Care Suite 2.0

The X-ray industry's first on-device AI solution for triaging and enhancing productivity
At a Glance

Confidence at point of care

Provides an accurate and automated measurement of endotracheal tube position

ET Tube cases at a glance

Enables immediate access to AI-derived measurements in PACS worklist

Triage critical conditions

Detects nearly all pneumothoraces with high accuracy

Seamless integration

AI algorithms automatically analyze images without routing to a server

Built to improve the standard of care you’re delivering to patients

In these challenging times, radiology departments are under tremendous pressure to manage an ever-increasing number of cases. Every minute counts when dealing with high-risk procedures such as tracheal intubation¹ and critical conditions including pneumothorax. Critical Care Suite is a collection of on-device, AI algorithms that integrate seamlessly with your existing X-ray workflow and assist you in delivering the highest quality care to patients.
FEATURES

Helping you when every minute counts

Embedding Critical Care Suite 2.0 on a X-ray device provides radiologists and technologists with a host of benefits, including faster results, case prioritization and better quality control of the images right at the patient’s bedside.

Endotracheal tube positioning*

27.4% of intubations outside of the operating room result in mispositioned ET Tubes, which can lead to severe complications²⁻⁶. Critical Care Suite provides an accurate and automated measurement of ET Tube position on the X-ray device within seconds of image acquisition. 

Confidence at point of care – The on-device algorithm automatically detects the presence of ET tube in AP chest X-ray images. The average error is less than 1.0 mm when calculating the endotracheal tube tip-to-carina vertical distance⁷. The vertical distance between the tube tip and the carina is automatically calculated and displayed on device.

ET Tube cases at a glance – Enables immediate access to AI-derived measurements in PACS worklist via configurable DICOM® tags, and displays AI-generated measurements with an image overlay in PACS.

 

Pneumothorax triage and notification

20,000+ pneumothroaces are flagged per year7. Critical Care Suite can help triage critical conditions, such as pneumothorax, alleviating the overwhelming demand that urgent X-rays are placing on radiology teams.

High accuracy – Detects nearly all large pneumothoraces (96% sensitivity), and identifies 3 out of 4 small pneumothoraces (75% sensitivity)10. Limits false alerts (94% specificity), with an Area Under Curve (AUC) of 0.9610.

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.

Real-time quality alerts

Critical Care Suite includes Quality Care Suite, featuring AI algorithms that operate in parallel and help technologists reduce image quality errors and improve efficiency. 

Intelligent Auto Rotate – Saves technologists 3–4 user interface clicks on more than 80% of mobile chest X-ray exams, saving up to 70,000 “clicks” a year7

Intelligent Protocol Check – Conducts an automated quality check to detect errors on the acquisition system, such as improper protocol used (AUC >0.99)10

Intelligent Field of View – Detects when a lung field is clipped in a frontal chest X-ray (AUC >0.99) and allows technologists to determine if a repeat is required before sending the image to PACS10

Seamless integration with your X-ray imaging workflow

Critical Care Suite's on-device AI algorithms analyze X-rays without routing images to a server. The AI output is sent directly to PACS via secondary capture DICOM image.

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, MD

Cardiothoracic Radiologist and Modality Director of Diagnostic Radiography - UH Cleveland Medical Center

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.

Try our online demo

Content library

 

Critical Care Suite 2.0 brochure

Download the product brochure to learn more about Critical Care Suite 2.0.

 

Covid-19 case study

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

 

X-ray AI Portal

Test drive Critical Care Suite 2.0 on the GE Healthcare X-ray AI Portal

References
1. Stephen E. Lapinsky. Endotracheal intubation in the ICU. Crit Care. 2015; 19(1): 258.

2. World Health Organization Report -Communicating Radiation Risks in Pediatric Imaging.

3. 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. 

4. Katz SH, Falk JL. Misplaced endotracheal tubes by paramedics in an urban emergency medical services system. Ann Emerg Med 2001;37:32–7. 

5. 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. 

6. McGillicuddy DC et al. Is a postintubation chest radiograph necessary in the emergency department? Rachh, Pratik, et al. “Reducing STAT Portable Chest Radiograph Turnaround Times: Int J Emerg Med 2009;2:247–9.

7. GE Healthcare Data on File.

8. A Pilot Study.” Current problems in diagnostic radiology (2017).

9. Lorenz, Jonathan, and Matthew Blum. “Complications of percutaneous chest biopsy.” Seminars in interventional radiology. Vol. 23. No. 2. Thieme Medical Publishers, 2006.

10. FDA 510(k) K183182.

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

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