EchoNous
Releases AI
Powered Ultrasound Bladder Scanner
Scanning the
Bladder and measuring its volume is a common procedure usually performed by nurses. It may be done for a variety of reasons, but achieving accuracy is key. Catheterization-based methods may be the most accurate, but non-invasive
Ultrasound is a lot more attractive.
With conventional
Ultrasound one must be very careful to properly gauge the margins of the bladder, then essentially use a ruler on a 3D object, and finish using a formula that really only provides a rough estimate.*
EchoNous, based in Redmond, Washington, has released a device that lets nurses measure
Bladder volume faster and with greater confidence, hopefully resulting in more accurate numbers.
The
EchoNous Bladder is an compact
Ultrasound probe that connects to a tablet computer. Following prompts and short videos, the nurse is instructed to slide the probe over the
Bladder and tap on the screen to guide the computer. In turn, the computer uses an AI algorithm,
Powered by Convolutional Neural Networks (CNN), to identify the 3D margins of the
Bladder and calculate its volume.
“We believe the status quo in
Bladder scanning was not good enough for nurses or their patients. Our world-class team of
Ultrasound engineers and machine learning scientists have remained focused on moving beyond the 30-year old probe technology being used today in
Bladder scanning,” said Niko Pagoulatos, PhD, Chief Operating Officer of EchoNous. “While the entire
Ultrasound industry abandoned mechanical probes in the late 1980s, conventional
Bladder scanners have continued on with this outdated technology. We decided it was time to raise the bar for this application space.”
Product page:
EchoNous Bladder…
Via:
EchoNous…
