Mississauga, ON, September 1, 2020 – GE Healthcare today announced Health Canada’s license of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with Humber River Hospital in Toronto, using GE Healthcare’s Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung.
“Today’s pandemic has proven that data, analytics, AI and connectivity will only become more central to helping clinicians and partners on the front lines to quickly deliver care,” says Katelyn Nye, Global General Manager, Mobile Radiography & Artificial Intelligence. “For GE Healthcare, that means continuing to advance intelligent health and providing innovative technologies to improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is a great example of how we can do just that.”
Currently, 62 percent of exams are marked ‘STAT’ or for urgent reading1, but they aren’t all critical. A prioritized “STAT” X-ray can sit waiting for up to eight hours for a radiologist’s review1. However, when a patient is scanned on a device with Critical Care Suite, the system automatically analyzes the images, searching for a pneumothorax. If a pneumothorax is suspected, an alert – along with the original chest X-ray – is sent directly to the radiologist for review via picture archiving and communication systems (PACS). The bedside care team also receives an on-device notification to provide awareness of the prioritized cases. Quality-focused AI algorithms simultaneously analyze and flag protocol and field of view errors as well as auto rotate the images on-device to save technologists time and simplify workflow.
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To further assist technologists and radiologists, Critical Care Suite also includes an:
On-Device Pneumothorax Alert[2] which is flagged as soon as the X-ray image is acquired, if a pneumothorax is detected;
AI Score2 from 0 to 100 in which the higher the score, the more confident the algorithm is that a pneumothorax is detected;
Image Overlay2 that can be seen on-device (as well as on the Secondary Capture image sent to PACS) and has accurately localized 96% of positive pneumothorax findings; and
Customization of preferences2 which allows users to set an AI operating point (five setting options) in order to tune the performance of the system to preferred sensitivity or specificity.
