Israeli AI Platform Detects Major Heart Disease from a Single Ultrasound View
Israeli AI platform AISAP detects major heart disease from a single ultrasound view, achieving AUC up to 0.97 for heart failure and valvular disease.
Jerusalem, 27 January, 2026 (TPS-IL) — AISAP, an Israeli leader in AI diagnostics, has published a peer-reviewed study in Frontiers in Digital Health demonstrating that its deep learning platform can accurately detect major heart conditions from a single echocardiographic view. Analyzing over 120,000 studies, the AI identified heart failure and valvular disease with an AUC of up to 0.97, even when images were captured by non-cardiologists using handheld devices.
“This approach removes technical barriers to cardiac imaging, enabling clinicians to identify life-threatening conditions at the bedside,” said Dr. Lior Fisher of sheba medical Center. AISAP’s FDA-cleared POCAD platform is already in clinical use, expanding access to specialist-level cardiac diagnostics across hospitals and rural clinics worldwide.
























