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.”
AI-Initiated Recalls After Screening Mammography Demonstrate Higher PPV for Breast Cancer
March 18th 2025While recalls initiated by one of two reviewing radiologists after screening mammography were nearly 10 percent higher than recalls initiated by an AI software, the AI-initiated recalls had an 85 percent higher positive predictive value for breast cancer, according to a new study.
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.
Can Ultrasound-Based Radiomics Enhance Differentiation of HER2 Breast Cancer?
March 11th 2025Multicenter research revealed that a combined model of clinical factors and ultrasound-based radiomics exhibited greater than a 23 percent higher per patient-level accuracy rate for identifying HER2 breast cancer than a clinical model.