old_slug_title_webinar_US@123_Updated
- Featuring
- January 22 2026
- Duration 2: 15: 17
- published
This text will appear below the headline/title. It should be written to compel the user to read on. The intro should include just the first few sentences of the full content piece. This text will appear below the headline/title. It should be written to compel the user to read on. The intro should include just the first few sentences of the full content piece.
At-a-glance:
- glance 1
- glance 2
- glance 3
Updated Body text - English - Starts here:
Overcoming technical and clinical barriers to innovation
UPDATED ---- Philips Ultrasound faced challenges that were constraining innovation and patient care delivery. On the development side, the company sought faster iteration cycles in algorithm development, while managing increasingly complex parallel processing UPDATED LINK demands that strained their traditional hardware-based architecture.
Clinically, ultrasound imaging remained highly patient-dependent with significant variability across different patients and scenarios. Healthcare providers needed more robust imaging that could adapt automatically, deliver higher-resolution 3D volumes at better frame rates and offer advanced tools for visualizing complex anatomy—particularly during interventional procedures and in women’s healthcare applications.
Transforming ultrasound with software-defined GPU beamforming powered by NVIDIA
UPDATED To accelerate innovation and support increasingly advanced imaging techniques, Philips transitioned its ultrasound platform from custom FPGA-based hardware to software-defined beamforming for its third generation. Powered by NVIDIA RTX professional GPUs, this transformation delivers the high-performance, energy-efficient computing needed for real-time beamforming. The result is sharper images, faster processing and more confident diagnoses, helping clinicians deliver better care, more efficiently.
- UPDATED Using NVIDIA's CUDA framework, Philips unlocked massive parallel processing capabilities, transforming ultrasound imaging performance.
- CUDA specifically accelerates core imaging functions — from beamforming, filtering, and envelope detection to post-processing algorithms like Image Boost—while the GPU's immense computational power drives advanced 3D data reconstruction and volume rendering.
- The implementation of NVIDIA GPU beamforming technology has delivered measurable results across multiple dimensions of performance and business value.
- UPDATED
- UPDATED This comprehensive software-defined architecture enables real-time adaptive imaging that responds dynamically to each patient's unique acoustic window and anatomical characteristics, without requiring full system overhauls.
- The result allows clinicians to visualize pathologic flow in real time across the complex structures of the heart valves.
- The jump in performance capabilities of GPU-based beamforming compared to FPGA allows a 70% improvement in 3D Color volume rates, one of the most computationally intensive ultrasound modes.
- UPDATED
UPDATED Templates | UPDATED Validation | Status |
|---|---|---|
UPDATED Article | UPDATED Body text | Active |
UPDATED Article | UPDATED Title | Active (deleted below field value) |
UPDATED Article | UPDATED Publication |
Callout: Published - EN - US
1. updated EENNN GPU beamforming enhances diagnostic confidence, thereby reducing the need for clinicians to interpret ambiguous ultrasound images. Improved image quality eases the burden of difficult cases, enabling consistent exams and smoother workflows. In procedural settings, GPU-enabled systems support demanding imaging for minimally invasive interventions, expanding access and reducing costs.
Quote: Published - EN - published- US
CHANGED - English - Locale - It’s nothing for members of the care team without members of the care team… this is the fingerprint we’re leaving on nursing.
MS Beth Polivka
System Chief Nursing Officer and Senior Vice President
CoxHealth
UPDATED SINGLE PAL - You tube : Published - EN - US
UPDATED SINGLE PAL - VIDEO : Published - EN - US
UPDATED SINGLE PAL - PDF : Published - EN - US
Provide a caption to this photo that ties it into the content.
UPDATED SINGLE PAL - DOCX : Published - EN - US
test Provide a caption to this photo that ties it into the content.
UPDATED MULTI PAL - Image : Published - EN - US
UPDATED MULTI PAL - Videos: Published - EN - US
Provide a caption to this photo that ties it into the content. Do not simply describe what is shown in the photo, but rather give it context around the topic this page is about.
Provide a caption to this photo that ties it into the content. Do not simply describe what is shown in the photo, but rather give it context around the topic this page is about.
Provide a caption to this photo that ties it into the content. Do not simply describe what is shown in the photo, but rather give it context around the topic this page is about.
Provide a caption to this photo that ties it into the content. Do not simply describe what is shown in the photo, but rather give it context around the topic this page is about.
UPDATED MULTI PAL - DOC: Published - EN - US
UPDATED MULTI PAL - Youtube: Published - EN - US
UPDATED Featured Story - Case Study : Publshed - EN -US
Focal Point added here
Without focal point changes in thumbnail :
With Focal point changes in thumbnail :
UPDATED Body text - English - ENDSSS here:
======================================================================================
Featuring
Mr Alexander
Quality
IT Validation & QA
Philips, Bangalore
Read more
Validating long description
Include the title that will appear next to the document download button
Copy this URLto share this story with your professional network
This should match the title of the article.
After 150 characters the content will not appear in Google description.
Component - Subscribe - Headline
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.