NIH inventors have developed a new artificial intelligence system that is poised to transform echocardiography by delivering real-time analysis and predictive biomarker extraction. This technology automates key imaging tasks—including quality assessment, view classification, segmentation, and cardiac biomarker quantification—turning complex ultrasound data into actionable insights within seconds.

Designed to be efficient, robust, and interpretable, the system can operate on embedded devices such as bedside and handheld ultrasound units, enabling faster, more consistent diagnosis at the point of care. It supports clinicians in managing a wide range of cardiac conditions while streamlining workflows and reducing analysis time from hours to moments.

There is no comparable system in the market that performs a series of medical imaging 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.). This technology has many competitive advantages, including:

• It enhances efficiency and saves time – hours to minutes or seconds.
• It enables deeper analysis of a patient’s condition.
• It enables the streamlining of tedious clinical tasks, potentially saving hours of physicians’ time
• It reduced costs to payers and patients resulting from decreased physician time.
• It allows for reproducible and precise image analysis anywhere. 
• It enables unprecedented portability and standardized access to care – including visual analytics, predictive biomarker calculation, diagnosis, assessment, and prognosis.  

If you are interested in learning more about this collaboration opportunity, you can find more information and a licensing contact on the abstract: Real-time AI System for Echocardiography Analysis and Quantification