Ultrasound developer EchoNous has launched Trio, a set of algorithms that utilize artificial intelligence (AI) capabilities for the company's Kosmos point-of-care ultrasound (POCUS) system.
Trio uses machine learning to provide real-time, automatic image labeling, grading, and guidance. EchoNous designed the algorithms to work with physicians of different experience levels, including students who are just learning how to use POCUS as well as experienced clinicians who work in primary care, acute care, cardiology, and more.
The Trio image guidance feature works like a GPS system for the ultrasound probe, showing physicians how to fan and rotate the probe, EchoNous noted. Furthermore, the software's image quality grading feature provides a score to help clinicians know when they have achieved the best possible picture, and an anatomical labeling feature automatically labels cardiac anatomy.
The new Trio features have not been cleared by the U.S. Food and Drug Administration, EchoNous noted. The company intends to continue releasing new AI-powered applications for POCUS throughout the next year.
