New Study Confirms AISAP’s AI for Detecting Heart Disease from Ultrasound Views

Groundbreaking Study Validates AISAP's AI Heart Disease Detection

AISAP, a pioneer in AI Point-of-Care Diagnostics, has recently published a significant study in the peer-reviewed journal Frontiers in Digital Health. The research provides compelling evidence that AISAP's deep learning model can effectively detect critical heart conditions, including valvular disease and ventricular dysfunction, from a single, focused ultrasound view. Notably, this detection is accomplished even with images taken by non-cardiologists using handheld devices.

Overview of the Study

The study, titled "Artificial intelligence assessment of valvular disease and ventricular function by a single echocardiography view," involved an extensive retrospective analysis of over 120,000 echocardiographic studies. This comprehensive dataset was utilized to train the AI model, which was subsequently validated against a cohort of patients in a prospective manner. The findings revealed that the AI system could extract significant features related to cardiac health from standard 2D grayscale ultrasound clips—an achievement that simplifies cardiac imaging, traditionally reliant on complex techniques such as color flow Doppler.

The AI demonstrated exceptional diagnostic performance, attaining an Area Under the Curve (AUC) score of 0.97 for reduced ejection fraction detection and 0.95 for right ventricular dysfunction during real-world testing scenarios.

A Shift in Cardiac Screening Approaches

Dr. Lior Fisher, the lead author of the study and a physician at the Leviev Cardiovascular Institute at Sheba Medical Center, emphasized, "The findings of this study represent a significant shift in how we approach cardiac screening. By demonstrating that a single-view acquisition can yield high diagnostic accuracy for major pathologies such as heart failure and valvular regurgitation, we are effectively eliminating the technical barriers associated with cardiac imaging. This breakthrough facilitates a broader range of clinicians to identify potentially life-threatening conditions at point-of-care settings, well before patients visit the echo lab."

Traditionally, comprehensive echocardiogram procedures necessitate involvement from highly trained sonographers, multiple imaging angles, and expert interpretation by cardiologists. Such processes can lead to delays of days or weeks before receiving a diagnosis. This new study illustrates AISAP's potential to bypass these limitations, enabling frontline clinicians in emergency rooms, rural clinics, and hospital wards to deliver immediate, specialist-level triage.

This capability is especially crucial for the aging population over the age of 65, where valvular heart disease is most prevalent and early diagnosis can significantly affect patient outcomes.

A Commitment to Advancing AI in Healthcare

Adiel Am-Shalom, CEO and Co-Founder of AISAP, stated, "This validation reflects our commitment to continually advance the capabilities of AI in healthcare. By confirming that AI can rapidly extract meaningful clinical insights from minimal ultrasound inputs, this study asserts our POCAD™ platform is not just another clinical tool; it can serve as a vital lifeline for patients. Delivering specialist-level insights from a single ultrasound view allows for timely decision-making at the bedside, facilitating the immediate detection of heart disease, whether in major hospitals or remote rural locations."

AISAP's FDA-cleared POCAD™ platform empowers clinicians to conduct thorough, AI-driven ultrasound diagnostics right at the patient's bedside—no matter the setting. While this study highlights a significant step towards future innovations, the company’s current platform is already pivotal in addressing key cardiac conditions in routine clinical practice.

Looking Ahead

Moving forward, AISAP will continue collaborating with research partners, pushing for expansion into leading healthcare systems, and increasing the number of global clinical sites to ensure broader accessibility to their transformative technologies. Amid these developments, AISAP remains committed to facilitating timely and accurate healthcare diagnostics for patients around the world.

For more information or to arrange a demo, visit AISAP's official website and follow their updates on LinkedIn.