PREDICT™
AI-enhanced, game-changing device designed to enable early prediction of heart failure — non-invasive, accurate, and effortless to use.
KardioVis PREDICT™ is a PATENT-pending, non-invasive technology being developed to support early prediction of heart failure and empower more proactive patient management. It aims to provide timely clinical insights to reduce hospitalizations, manage healthcare costs, and improve patient outcomes.
The device is currently under development toward MDR Class IIa certification and FDA clearance, and is designed to non-invasively detect early indicators of heart failure up to four weeks before clinical onset.
An end-to-end solution delivering reliable alerts to physicians (when enabled), unlocking effortless and scalable patient monitoring.
What Makes It Unique (Patent Pending)
Unlike implantable monitors or skin patches, PREDICT™ is being developed to offer the clinical insight and signal quality typically associated with invasive solutions, while providing exceptional comfort, accessibility, and unmatched 10-second measurement speed.
Heart failure affects more than 50 million people worldwide. PREDICT™ aims to give healthcare systems a way to support earlier intervention, potentially reducing readmissions, lowering costs, and improving patient outcomes. KardioVis represents a shift toward proactively identifying early signs of deterioration, enabling prediction before symptoms begin.
KardioVis PREDICT™ is designed to measures key cardiac signals without using indirect estimations.
The scientific background
KardioVis PREDICT™ combines advanced electromechanical sensing with artificial intelligence to analyze early cardiac patterns that conventional monitoring tools may not capture. In a 10-second test, the patient simply places the compact device on the chest — no skin contact, patches, or electrodes required.
The system measures and analyzes first, second, third, and fourth heart sounds (S1, S2, S3, S4), as well as cardiac time intervals. A 3-derivation ECG can also be captured as an optional feature for hospital and clinic settings. These parameters are processed using proprietary signal-fusion and deep-learning algorithms designed to identify early patterns associated with cardiac decompensation.
The system generates a predictive, AI-enhanced risk indicator that can be transmitted securely to physicians via a connected digital platform, supporting more proactive patient management.
Key features include: Portable, 10-second measurement suitable for hospital, clinic, or home environments.
Achievements
Tested on 90+ individuals
+8000 complete cardiac cycles
Works on shirt plus pullover
Second generation
The Final Product
Final design will be disclosed as soon as the patent is granted.
KardioVis PREDICT™ is an investigational device, currently under development for MDR certification in Europe and FDA clearance in the United States.
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