AI-enabled ultrasound

Smarter scans, fewer clicks, more control*

Boost productivity by shifting repetitive tasks to AI and maintain ultimate decision responsibility. Fast, accurate and intuitive1-7, see how ultrasound AI can help you transcend the limitations of everyday ultrasound.

Heart graphic

Trust responsible9, 10 ultrasound AI to supercharge your ultrasound routine:

Benefits:

Shorten exam time and interpretation1, 2, 3, 4, 5

Improve accuracy and reproducibility1, 5, 7, 8

Reduce variability between users1, 5, 7, 8

Cardiovascular ultrasound AI capabilities at-a-glance

Demonstrated results in ultrasound AI

100% 

Committed
to responsible AI

Philips algorithms are trained on hundreds of thousands of real-world, highly controlled medical images. Our AI solutions are developed within a stringent internal quality control framework. Philips CEO Roy Jakobs co-chairs Steering Committee on AI Code of Conduct.9, 10

51% 

reduction in quantification time1

As demonstrated with the X5-1 transducer, quantification time was reduced by 51% with the use of Auto Measure.1

82% 

total time saved for acquisition and analysis combined5

3DE image acquisition required less time than the multiple 2DE views for volume measurements. Analysis of the 3DE images was significantly faster than that of the 2DE images. Total time saved for acquisition and analysis combined was 82% in the fully automated mode and 63% even with manual editing.

20%

reduction in 2D diagnostic echo exam time4

Reduce your 2D diagnostic echo exam time by 20% by incorporating Philips automated solutions into your everyday echo.4


About Philips ultrasound AI innovation

Image of clinician and patient in echo lab

Our commitment to innovative AI-enabled ultrasound extends to two major acquisitions, which merge the groundbreaking cardiovascular ultrasound AI capabilities of TomTec and DiA with Philips solutions. Our combined technologies aim to push the limits of ultrasound AI diagnostic capabilities while prioritizing high-quality, responsible AI.

Frequently asked questions

How does Philips ultrasound AI help reduce repetitive movements?

AI-driven automated measurements, from AI features such as Auto Measure and AutoStrain, reduce the number of keystrokes and clicks6, potentially alleviating the physical burden on clinical sonographers.

What ultrasound AI-enabled applications are available today from Philips?

  • AutoStrain: delivers fast, reproducible 2D strain quantification for the LV, LA and RV**
  • AutoMeasure: fully automated 2D Doppler and length measurements 
  • 3D Auto RV: full 3-D quantification for LV, LA and RV volumes and functional assessment 
  • 3D Auto MV: dynamic analysis of the mitral valve 
  • Dynamic HeartModel (anatomical intelligence with advanced automation): tracks every frame over the cardiac cycle using 3D speckle technology to provide a holistic view of the left heart function**


In addition, we have a robust AI innovation roadmap designed around addressing our customers’ key challenges through advanced automation.

What are some tasks that are driven by AI?

Philips ultrasound AI capabilities span a user’s end-to-end-imaging needs, from image acquisition and selection, to measurement and quantification, to analysis for clinical decision support. Our AI automates elements of this workflow to help reduce variability and increase productivity.

What ultrasound systems are compatible with Philips cardiac ultrasound AI solutions?

Ultrasound AI Solutions technologies are available on Philips EPIQ CVx and Affiniti CVx* dedicated cardiac ultrasound systems and run on the same highly interoperable platform as Cardiovascular Workspace.
*Not all features available on all systems

What is responsible cardiac ultrasound AI?

Philips perspective is that, to be considered “responsible cardiac ultrasound AI,” the AI algorithms should be trained on high-integrity data derived from a significant number of real-world, clinical images. Philips AI uses hundreds of thousands of images that represent a wide variety of demographics and have been acquired by differently skilled users. In addition, applications should meet the highest standards put forth by the FDA and follow stringent quality control protocols including checks and balances based on healthcare AI codes of conduct.

Is Philips a leader in AI?

Philips is committed to the safe and responsible use of data and AI. Our CEO, Roy Jakobs, co-chairs U.S. National Academy of Medicine’s Steering Committee on AI Code of Conduct, to develop a framework to ensure equitable, ethical, safe and responsible use of AI health and healthcare.

We are always interested in engaging with you.

Let us know how we can help.

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Footnotes
 

*Clinicians have final decision responsibility and the ability to accept or modify results based on their clinical assessment, giving them complete control over the exam.

** Dynamic HeartModel and AutoStrain are advanced automation solutions, not currently certified as artificial intelligence.

[1] The Auto Measure feature can reduce the quantification time by 51%. VM9 claims document 270472 A.
[2] AutoSTRAIN – automated global longitudinal strain (GLS) measurement, Verena Roediger, PhD. PM, TOMTEC/Philips White Paper. Printed in The Netherlands. 4522 991 45791 * FEB 2019.
[3] After performing 10 echo exams with the Compact 5500 system there was 80% agreement that the AutoStrain LV application was fast and easy to use. 275264C_Protego Claims List for Marketing Communications and 277399 Protego User Preference
[4] Reduce your 2D diagnostic echo exam time by 20% by incorporating Philips automated solutions into your everyday echo. 270472_VMQ9.0 Claims Evidence Report
[5] HeartModel study (4522 991 17141 * MAY 2016) by Dr. Roberto Lang: Automated transthoracic three-dimensional echocardiographic quantification of the left heart chambers
[6] AutoStrain, AutoMeasure, EchoNavigator, 3D Auto MV, 3D Auto RV, HeartModel as compared to equivalent manual methodology.
[7] "Validation and Reference Values for Three-Dimensional Echocardiographic Right Ventricular Volumetry in Children: A Multicenter Study." J Am Soc Echocardiogr 31(9): 1050-1063.
[8] Henry MP, et al., Three-Dimensional Transthoracic Static and Dynamic Normative Values of the Mitral Valve Apparatus: Results from the Multicenter World Alliance Societies of Echocardiography Study. J Am Soc Echocardiogr. 2022 Jul;35(7):738-751.e1. doi: 10.1016/j.echo.2022.02.010. Epub 2022 Mar 1. PMID: 35245668; PMCID: PMC10257802.
[9] Philips CEO Roy Jakobs co-chairs US National Academy of Medicine’s Steering Committee on AI Code of Conduct.
[10] Philips AI Principles | Philips

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