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GE Healthcare Combines Ultrasound and AI for Cardio Exam Solution

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The Chicago, IL-based company has received FDA clearance for the Vivid Ultra Edition, an AI-powered cardiovascular ultrasound system.

GE Healthcare’s latest cleared device from FDA combines artificial intelligence and ultrasound to help in the care of cardiovascular patients.

The Vivid Ultra Edition is an AI-powered cardiovascular ultrasound system designed to shorten diagnostic exam time and improve measurement consistency.

Methodical assessments of heart function are key in echocardiography but can be tedious and time-consuming to acquire. High-quality data acquisition and operator skills are key elements to achieve accurate and complete exams. And, as patients undergo subsequent monitoring exams, the reproducibility of exam assessments is key to identifying improvement or disease progression.

The Chicago, IL-based company said the Vivid Ultra Edition brings increased efficiencies to the scanning process for reduced exam time through up to 80% fewer clicks by using the AI Auto Measure-2D feature, 99% accuracy by using the View Recognition feature, and less inter-operator variability by using the AI Auto Measure-2D feature..

“With the Vivid Ultra Edition, we offer AI capabilities that help address healthcare providers’ two key challenges in echo exams – how time-consuming the exam is and the degree of variability that exists in the quantitative results,” Dagfinn Saetre, General Manager of Cardiovascular Ultrasound at GE Healthcare, said in a release. “This package supports our vision of where we need to go with cardiovascular ultrasound: tools to support less variability and improved productivity. The Vivid Ultra Edition is a solid step in our strategic roadmap.”

GE Healthcare is one of several established medtech players that has fully-embraced AI. The companies Edison platform is perhaps the most telling of its commitment to the space. Through Edison, providers can gain easier access to market-ready algorithms and apps by integrating them into existing workflows, and enable them to derive more value from their existing technologies.

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