Offering an array of AI-powered automation and image optimization, the new Elevate software is geared to maximizing workflow efficiencies for the EPIQ Elite and Affiniti ultrasound systems.
Emphasizing enhanced precision imaging and automated tools to facilitate improved efficiency with ultrasound workflows, Philips will be introducing the new AI-powered Elevate software at the upcoming European Congress of Radiology (ECR) conference.
The Elevate software offers over 100 new quality presets to promote enhanced imaging for the EPIQ Elite and Affiniti ultrasound platforms, according to Philips.
Auto ElastQ, one of the new AI-enabled features included in the new Elevate ultrasound software, reportedly facilitates up to a 60 percent reduction in exam time for shear wave elastography of the liver. (Image courtesy of Philips.)
For abdominal imaging, Philips said the Elevate software provides automated image brightness, up to a 54 percent reduction in button pushes and up to a 50 percent reduction in the time it takes to ensure optimal image acquisition with new Quick Launch presets. The company also pointed out that the Auto ElastQ feature facilitates up to a 60 percent reduction in exam time for shear wave elastography of the liver.
The company noted that other features include the AI-enabled Philips Auto Strain, which provides automated selection of optimal images to assess strain in cardiac imaging, and the Contrast Enhanced Ultrasound (CEUS) AutoScan feature, which bolsters CEUS gain at every pixel and frame.
“With this latest release, we address the greatest challenges facing health systems across their clinical operations, streamlining and enhancing ultrasound exams to increase workflow efficiency and throughput to address staff shortages and high patient volumes,” noted Bita Alu, the business leader for general imaging, point of care, and women’s health at Philips Ultrasound. “ … We have enhanced the user experience and reduced training time for new staff members, providing imaging professionals with the high-resolution image quality needed for confident first-time-right diagnoses to help improve patient outcomes.”
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.