GE Healthcare launches AI algorithm for Covid-19 patients’ ETT placements

24 November 2020 (Last Updated November 24th, 2020 13:35)

GE Healthcare has unveiled a new X-ray artificial intelligence (AI) algorithm that can aid clinicians in assessing Endotracheal Tube (ETT) placements in ventilating critically ill Covid-19 patients.

GE Healthcare launches AI algorithm for Covid-19 patients’ ETT placements
The AI solution is embedded on a mobile X-ray device for automated measurements, case prioritisation and quality control. Credit: kalhh from Pixabay.

GE Healthcare has unveiled a new X-ray artificial intelligence (AI) algorithm that can aid clinicians in assessing Endotracheal Tube (ETT) placements in ventilating critically ill Covid-19 patients.

An industry-first collection of AI algorithms, Critical Care Suite 2.0 is embedded on a mobile X-ray device for automated measurements, case prioritisation and quality control.

Estimates show that up to 25% of patients intubated outside the operating room have misplaced ETTs on chest x-rays, which can lead to hyperinflation, pneumothorax, cardiac arrest and even death of patients.

Furthermore, about five to 15% of Covid-19 patients need intensive care surveillance and intubation for ventilatory support.

GE Healthcare Imaging president and CEO Jan Makela said: “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.”

The Critical Care Suite 2.0 uses AI to automatically detect ETTs in chest x-ray images.

It also delivers accurate and automated measurement of ETT positioning within seconds of image acquisition on the x-ray system monitor.

In addition, the novel AI suite has algorithms that alert radiologists in prioritising critical cases and automate processes to cut down average review time from up to eight hours.

The technologist is also alerted with subsequent on-device notification in such cases.

Co-developed by GE Healthcare and UC San Francisco, Critical Care Suite 2.0 uses the former’s Edison platform to deploy AI algorithms rapidly and securely.

Last week, GE Healthcare announced plans to acquire Swedish start-up Prismatic Sensors to expand its portfolio in PCCT technology.