Atrial Fibrillation Affects ~60 Million People Worldwide
Current screening methods often detect AFib AFTER it occurs, missing the critical window for clinical intervention. For many patients, a stroke is the first and only sign of their underlying arrhythmia…
In post-cardiac surgery recovery, AF episodes often and escalate quickly, leaving limited time for intervention once detected.
This creates a dangerous mismatch between the patient's constant AFib risk and the healthcare system's sporadic ability to detect it in-time.
BeatAI Forecasts Near-term AF Risk From Continuous ECG Signals
Predictive, Not Reactive
Unlike traditional monitoring, BeatAI forecasts AFib onset hours in advance, providing a critical window for intervention.
Real-time & Device-Agnostic
BeatAI processes data continuously in near or real-time, designed for interoperability with standard single and multi lead ECG data formats..
Personalized
BeatAI setup includes a passive short calibration period for each patient. This enables the AI to deliver personalized risk scores and alerts for clinical action.
Subtle Pattern Detection
BeatAI identifies nuanced physiological patterns that are imperceptible to the human eye, enabling unparalleled accuracy in arrhythmia prediction.
Building The Future of
Cardiac Care
BeatAI has demonstrated the ability to predict AFib onset in early validation studies with Harvard Medical School and Mass General Brigham.
By shifting the paradigm from "diagnosing the event" to "predicting the rhythm," BeatAI enables clinicians to see the unseen. This means earlier intervention, enhanced monitoring, and ultimately, proactive prevention of arrhythmias…
The first and only AI-powered platform that predicts arrhythmia hours before it occurs,
transforming patient outcomes and lowering care costs.