Upload an ECG.
Get instant AI analysis.

Detect early signs of heart disease in seconds using AI-powered ECG interpretation.

See how it works

Disclaimer: This analysis is AI-generated for educational purposes only. It is not a medical diagnosis. Please consult a qualified healthcare professional for medical advice.

ECG analysis is slow and error-prone

  • Manual interpretation takes time
  • Requires highly trained specialists
  • Human error and fatigue affect accuracy

Waiting for specialist review...

Automated ECG analysis with AI

Jasandy Sana utilizes advanced neural networks for instantaneous ECG image analysis. Our system is capable of recognizing complex patterns that might be missed during a quick visual inspection, providing a second opinion for doctors and a rapid preliminary assessment for patients. This significantly reduces waiting times and aids in the early detection of critical conditions when every second counts.

Instant

Analysis results are available within seconds of uploading

Consistent

AI works 24/7 without fatigue, ensuring unwavering accuracy

Accessible

Professional-level analysis is available anywhere with an internet connection

How it works

01

Upload ECG image

Take a photo or upload a scan of any standard 12-lead ECG.

02

AI processes the signal

Our neural network extracts waveforms and identifies patterns.

03

Get instant analysis

Receive a structured report highlighting potential abnormalities.

Click the 'Try it now' button to upload an ECG

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Why Early Diagnosis is Critically Important

17.9M
Annual Deaths
Cardiovascular diseases remain the leading cause of death worldwide
32%
All Global Deaths
Nearly one in three deaths is caused by heart issues that could have been identified
1 in 5
At Risk
Many people live with undiagnosed heart conditions, unaware of the danger

Built for accessibility

Works in any browser. No installation required.

  • Upload ECG photos from mobile or desktop
  • Instant results with structured reports
  • Simple interface designed for clarity

Start analyzing ECGs in seconds

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