PulseAI

PulseAI

Paid

PulseAI offers AI-powered ECG analysis for cardiac diagnostics. It uses deep learning to provide medical-grade analysis from various devices, improving accuracy and accessibility.

PulseAI screenshot

PulseAI provides advanced AI-driven ECG analysis for cardiac diagnostics. Our deep learning algorithms, trained on millions of ECGs, deliver medical-grade accuracy. You get clinically validated performance across a range of devices, including smartwatches, patches, hospital monitors, and defibrillators. This technology makes reliable cardiac diagnostics accessible anytime and anywhere, transforming how heart health is monitored and managed.

Our platform integrates seamlessly with any ECG form factor. PulseAI analyzes cardiac signals either on the device or in the cloud. It then delivers structured diagnostic results directly into your clinical workflows. This means you receive clear, actionable information quickly. The system supports various data inputs, from single-lead smartwatches to 12-lead hospital monitors, ensuring broad compatibility and ease of use for healthcare professionals.

PulseAI detects over 100 abnormalities, including critical alerts for arrhythmias like AFib, VT, and SVT, as well as MI detection for STEMI and ischemic events. You also receive essential measurements such as heart rate, QT, PR, and QRS intervals, along with confidence scores for each condition. This comprehensive analysis empowers you to make faster, more informed decisions about patient care. Integration is simple, allowing you to send ECG data from any device and receive structured diagnostic results in seconds.

We are addressing a global diagnostic crisis in cardiovascular disease, the leading cause of death worldwide. PulseAI offers a scalable solution that enhances diagnostic capabilities, especially in remote or underserved areas. By providing medical-grade insights efficiently, PulseAI helps improve patient outcomes and reduce healthcare burdens. Partner with us to bring the future of cardiac diagnostics to your practice.

Use Cases

• Detect arrhythmias like AFib, VT, and SVT. • Identify myocardial infarction (MI) and ischemic events. • Monitor heart rate and rhythm from wearable devices. • Provide diagnostic-grade analysis for hospital monitors. • Integrate ECG analysis into telehealth platforms.

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