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            1. Ultrasound
            2. Cardiovascular ultrasound
            EPIQ CVx pediatric application
            Ultrasound

            Cardiovascular ultrasound

            Intuitive, reproducible, AI-enabled echocardiography

            Powered by AI-based capabilities, our industry-leading CV ultrasound platform delivers advanced tools for structural heart disease, including 3D automated tricuspid valve and color flow quantification tools. Efficient automation and quantification tools enable you to diagnose heart failure and coronary artery disease quickly and confidently. Tiny transducers, high frame rates and sharp imaging support confidence in pediatric echo exams. Unified on- and off-cart workflow supports lab setup and consistent UI and workflow across systems.

            Accelerating Ultrasound Innovation with NVIDIA

            Accelerating Ultrasound Innovation with NVIDIA

            Philips has redefined ultrasound performance by integrating NVIDIA technology across a comprehensive portfolio—including cardiology, general imaging, obstetrics, gynecology, and point-of-care applications. This collaboration is intended to positively impact healthcare providers and patients, with NVIDIA GPU-based beamforming. A flexible, modular design supports faster adoption of the latest GPU advancements, simplifying upgrades and helping reduce total cost of ownership.
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            On the leading edge
            With powerful tools and AI-based technology to help you practice on the leading edge of cardiovascular medicine, EPIQ CVx transcends today’s limitations to advance care for more patients in more ways. It helps ensure consistent image acquisition and interpretation across scans for standardized results for both routine and specialized imaging needs. EPIQ CVx also provides greater automation and collaboration, so you can save time, get real-time input and focus on your patients.
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            Campaign visual Transcend, EPIQ CVx, CV Ultrasound
            White paper: Dynamic quantification of mitral regurgitation
            The American Society of Echocardiography (ASE) recommends both semi-quantitative and qualitative parameters to assess mitral regurgitation severity. However, the most common method, proximal isovelocity surface area (PISA), suffers from issues with reproducibility and correlation when assessing effective regurgitant orifice area (EROA) and regurgitant volume (RVol).¹
            Read this white paper to learn how 3D Auto CFQ, a color flow quantification tool based on 3D echocardiography, overcomes some of PISA’s limitations by providing automated, reproducible quantification of mitral valve RVol.
            Download
            Campaign visual, Transcend, EPIQ CVx, Affiniti CVx, Ultrasound, next dimension in echo
            Address the full spectrum of exams
            Designed to address the full spectrum of patient exams, Affiniti CVx delivers standardized results as you move across both routine and specialized procedures. Its AI-based technology combines with advanced tools to help you manage clinical complexities, and its efficient automation enhances workflow and reduces tedious tasks.
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            Campaign visual, Transcend, Affiniti CVx, CV Ultrasound


            Enabling technologies for Cardiovascular ultrasound

            • Ultrasound AI Solutions

              Ultrasound AI Solutions

              Philips AI-based ultrasound solutions integrate into everyday clinical workflows and augment user skills.

            Related procedures

            • Cardiotoxicity oncology

              Managing cardiotoxicity risks at every step

              Philips cardio-oncology assessment and monitoring tools aid the management of cardiotoxicity risks.

            Footnotes
            1. Spampinato RA, et al. Quantification of regurgitation in mitral valve prolapse with automated real time echocardiographic 3D proximal isovelocity surface area: multimodality consistency and role of eccentricity index. Int J Cardiovasc Imaging. 2021;37:1947-1959.
            Disclaimer
            Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.