Webinar: Real-time AI System for Echocardiography Analysis and Quantification

Webinar. NIH Technology Opportunity. Wednesday January 28, 2026. 11am ET. Real-time AI sytem for echocardiography analysis and quantification.

Register to attend a free NIH webinar on Wednesday January 28, 2026 at 11am ET. Attendees will learn about a new AI enhanced real-time echocardiography device and method to improve the analysis and quantification of heart related conditions, by automatically extracting predictive biomarkers from an echocardiograph scan. Dr. Sameer Antani, a co-inventor and a Principal Investigator in the Computational Health Research Branch, in the Division of Intramural Research of the National Library of Medicine, at the National Institutes of Health, will discuss how this technology can be used to acquire biomarkers that could assist diagnosing a wide range of common cardiac diseases, as well as evaluating cardiac function in patient populations suffering from diseases such as sickle cell disease and other rare diseases.

About the Technology
This AI system takes an echocardiography study as input and produces predictive biomarkers as output in real-time. It performs several automated image analysis tasks, including:

  • echocardiography quality assessment of acquired echo clips;
  • echocardiography view retrieval (e.g., 2D four chamber or parasternal long axis view, Doppler);
  • echocardiography cardiac region segmentation (e.g. inferior vena cava); and
  • cardiac biomarker quantification (e.g. right atrial pressure).

This new system is efficient – real time operation and small storage footprint, robust in handling missing data, and is interpretable, providing human-understandable insights. These characteristics enable it to be embedded into devices for real-world clinical practice and point of care testing.

Competitive Advantages 

  • No comparable system in the market that performs a series of medical image tasks in real-time to extract predictive imaging biomarkers from different echo types and views including Doppler, M-model, and B-mode (A2C, A4C, PLAX, IVC, etc).
  • Enables streamlining of tedious tasks (e.g., image quality assessment, clip selection, long-duration image analysis, and quantifying and highlighting visual biomarkers) in clinical practice, potentially saving hours of physicians’ time.
  • Provides reproducible and precise image analysis anywhere and enables unprecedented portability and standardized access to care — including visual analytics, predictive biomarker calculation, diagnosis, assessment, and prognosis.


Who Should Attend?

  • Business development professionals
  • Device/software development professionals
  • Biotech/pharma/academia researchers
  • Investors and entrepreneurs

Why Attend?

  • Assess co-developing the technology
  • Interact with the inventor, ask questions and provide feedback
  • Learn how to partner with the NIH

Register

You can register for the webinar here: NIH Technology Opportunity Webinar: Real-time AI System for Echocardiography Analysis and Quantification. 

Connect with NCI Technology Transfer

If you are interested in partnering and do not already have a TTC staff contact, please reach out to the NCI Technology Analysis and Marketing Unit at Michael.Salgaller@nih.gov. If you are interested in exploring other technologies available for licensing or collaboration, you can do so through our site search.