Waukesha, Wis.-based GE Healthcare announces a new artificial intelligence (AI) algorithm to help clinicians assess endotracheal tube (ETT) placements, an important step when ventilating critically ill COVID-19 patients. The AI solution is one of five included in GE Healthcare’s Critical Care Suite 2.0, a collection of AI algorithms embedded on a mobile x-ray device for automated measurements, case prioritization, and quality control.
“Today, clinicians are overwhelmed, experiencing mounting pressure as a result of an ever-increasing number of patients,” says Jan Makela, president and CEO, Imaging at GE Healthcare. “The pandemic has proven what we already knew—that data, AI and connectivity are central to helping those on the front lines deliver intelligently efficient care. GE Healthcare is not only providing new tools to help hospital staff keep up with demand without compromising diagnostic precision, but also leading the way on COVID-era advancements that will have a long-lasting impact on the industry, long after the pandemic ends.”
Up to 45% of ICU patients, including severe COVID-19 cases, receive ETT intubation for ventilation. While proper ETT placement can be difficult, Critical Care Suite 2.0 uses AI to automatically detect ETTs in chest x-ray images and provides an accurate and automated measurement of ETT positioning to clinicians within seconds of image acquisition, right on the monitor of the x-ray system.
Improper positioning of the ETT during intubation can lead to various complications, including a pneumothorax, a type of collapsed lung. While the chest x-ray images of a suspected pneumothorax patient are often marked “STAT,” they can sit waiting for up to eight hours for a radiologist’s review.
However, when a patient is scanned on a device with Critical Care Suite 2.0, the system automatically analyzes images and sends an alert for cases with a suspected pneumothorax—along with the original chest x-ray—to the radiologist for review via PACS, GE Healthcare officials say. The technologist also receives a subsequent on-device notification to provide awareness of the prioritized cases.
To make the AI suite more accessible, Critical Care Suite 2.0 is embedded on a mobile x-ray device—offering hospitals an opportunity to try AI without making investments into additional IT infrastructure, security assessments or cybersecurity precautions for routing images offsite.
Furthermore, the on-device AI offers several benefits to radiologists and technologists:
- ETT positioning and critical findings: GE Healthcare’s algorithms are a fast way to ensure AI results are generated within seconds of image acquisition, without any dependency on connectivity or transfer speeds to produce the AI results.
- Eliminating processing delays: Results are then sent to the radiologist while the device sends the original diagnostic image, ensuring no additional processing delay.
- Ensuring quality: The AI suite also includes several quality-focused AI algorithms to analyze and flag protocol and field of view errors as well as auto rotate the images on-device. By automatically running these quality checks on-device, it integrates them into the technologist’s standard workflow and enables technologist actions—such as rejections or reprocessing—to occur at the patient’s bedside and before the images are sent to PACS.
GE Healthcare and UC San Francisco co-developed Critical Care Suite 2.0 using GE Healthcare’s Edison platform, which helps deploy AI algorithms quickly and securely. Critical Care Suite 2.0 is available on the company’s AMX 240 mobile x-ray system.