How AI can support your approach to structural heart disease

Featuring
|
June 18 2025
Duration 41:59

Learn how you can choose confidence over complexity by using AI to support your structural heart disease exams. New AI technologies – like 3D auto tricuspid valve (3D Auto TV) and 3D auto color flow quantification (3D Auto CFQ)- can take the guesswork out of your structural heart procedures. Discover how the convergence of equipment, devices and AI can support exam precision and help you address the increase in the number of structural heart procedures.

Video still of Philips KOL and Philips Research engineer on AI applications in CV Ultrasound, 3D Auto Color flow quantification CFQ, EPIQ CVx, X11-4t

At-a-glance:

1:52: Understanding 3D CFQ for mitral valve regurgitation: a validated, precise alternative to PISA
15:05: 3D Auto CFQ workflow and AI support: a demonstration
18:06: Two case studies
21:59: Understanding 3D Auto TV for automated measurement of tricuspid annulus

This webinar, Choosing Confidence Over Complexity: How AI can Support Your Approach to Structural Heart Disease, explains two new technologies, 3D Auto CFQ for mitral valve regurgitation and 3D Auto TV for automated measurement of the tricuspid annulus.

3D CFQ uses AI for fast, easy and reproducible assessment of MR volume. Proven to work on single, multiple, concentric and eccentric jets, and calculated over the entire cardiac cycle, it has been demonstrated to be equivalent to gold-standard cardiac MRI in the measurement of MRvol [1].

3D Auto TV provides clinically validated fast, accurate and reproducible measurement of annulus size and shape for percutaneous device procedure planning and size reconfirmation. The measurements are offered in a complete heart cycle from end diastole to end diastole.

Dr. Nadira Hamid, cardiologist and Director of the Echocardiography core lab at the Minneapolis Heart Institute Foundation, discusses her experiences using both technology and presents some case studies. Dr. Jimmy Su, Philips clinical scientist, explains the workflow and automation.

Copy this URLto share this story with your professional network

Ultrasound AI Solutions

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

Footnotes

Biner S, et al. Reproducibility of proximal isovelocity surface area, vena contracta, and regurgitant jet area for assessment of mitral regurgitation severity. JACC: Cardiovascular Imaging. 2010;3:235–243.

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.