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On-device Artificial Intelligence
What if you could achieve almost 100% uptime? You could get the right information, at the right time. And your X-ray rejection rates were below 5%? With world class service, high resolution detectors integrated into digital x-ray systems, the world’s first on-device embedded artificial intelligence for triage, and web-based quality assurance analytics, you can.
Here are the top 3 reasons for on-device artificial intelligence:
1) Prioritize critical findings – automatic image flagging of exams that are suspicious of critical findings and in need of urgent attention.
2) Increase workflow efficiency – leverage artificial intelligence to reduce the number of clicks needed by the technologists to complete an exam.
3) Fix errors before sending images to PACS – automated quality checks, such as identification of protocol or positioning errors right at the bedside.
Planning to attend RSNA?
Hear from GE Healthcare in the Innovation Theater.
The Benefits of Adopting On-Device, Embedded AI
Tuesday, December 3
Up to 60% of portable chest exams are marked ‘STAT’ or labeled urgent review1, but they aren’t all critical. Now, Critical Care Suite – the first FDA cleared AI algorithms embedded on an X-ray device for triage – helps cut through the clutter to prioritize critical chest X-rays, increase efficiency, and reduce quality errors.
1 .Rachh, Pratik, et al. “Reducing STAT Portable Chest Radiograph Turnaround Times: A Pilot Study.” Current problems in diagnostic radiology (2017).

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