AI-Powered ECG Analysis Platform

Cloud-based ECG disease detection and interpretation for faster cardiac diagnostics

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AI Interpretation

Clinical Reports

HIPAA Compliant

Real-Time Alerts

98%
Accuracy in AFib Detection
40%
Faster Diagnosis
99%
Reduced Errors
50K+
ECGs Analyzed

Business Context & Benefits

Our solution addresses critical challenges in cardiac diagnostics across healthcare settings.

Application Areas

Hospitals, primary care, telecardiology, home monitoring, wearables, and health camps.

Problems

Lack of cardiologists in rural areas, delayed interpretation, manual errors, and lack of remote diagnostics.

Traditional Methods

Manual ECG analysis with dependency on specialists, no scalable remote solution.

Our Solution

AI-based ECG analysis from images or signals with GPT-based clinical summaries.

Unique Features

Lead-specific grading, AI waveform parsing, severity-based alerts (Grades A-E), and GPT interpretation.

Benefits

Faster, more accurate diagnosis; remote capability; automated reporting; data-driven treatment prioritization.

Target Customers

Cardiologists, rural hospitals, telemedicine platforms, insurance providers, and health tech companies.

Business Impact

Improves accessibility to cardiac diagnostics and enables faster triage for critical cases.

Business Potential

  • India: ₹1500+ Cr ECG diagnostics & telehealth market by 2027
  • Global: $5B+ cardiac AI diagnostics market by 2030

Key Features

Advanced ECG analysis powered by AI and machine learning.

ECG Analysis

Multi-Source Input

Analyze ECGs from machines, BLE devices, paper scans, or direct USB inputs.

AI Detection

AI Disease Detection

Identify arrhythmias, ischemia, and other cardiac conditions with 98% accuracy.

Clinical Reports

Suggestive Interpretation

Automated clinical summaries with diagnosis, severity grade, and recommendations.

Dashboard

Real-Time Dashboard

Monitor ECG streams and analysis results in real-time through our cloud portal.

Alerts

Severity-Based Alerts

Immediate notifications for critical findings (Grade D-E) with escalation protocols.

Integration

EMR Integration

Seamlessly push ECG reports to electronic medical record systems via APIs.

Grade A

Normal ECG

Grade B

Minor Abnormalities

Grade C

Moderate Concerns

Grade D

Serious Conditions

Grade E

Critical Findings

Frequently Asked Questions

Get answers to common questions about our ECG analysis platform.

Our AI models achieve 98% accuracy for common arrhythmias like AFib and 95%+ accuracy for ischemia detection. Performance varies by condition and is continually improving through federated learning.

Yes, our specialized computer vision algorithms can accurately extract ECG waveforms from paper scans, photos, and PDFs, converting them into digital signals for analysis.

Our grading system:
  • A: Normal ECG - No action needed
  • B: Minor abnormalities - Routine follow-up
  • C: Moderate concerns - Specialist review within 72 hours
  • D: Serious conditions - Urgent review within 24 hours
  • E: Critical findings - Immediate intervention required

Most ECGs are processed in under 30 seconds. Complex cases or poor quality inputs may take up to 60 seconds. Critical findings (Grade E) trigger immediate alerts regardless of processing time.

Get Started Today

Ready to transform cardiac diagnostics? Contact our team for a personalized consultation.

Why Choose CardioAI?

  • Clinical Accuracy: Developed with cardiologists and validated on 50K+ ECGs
  • Comprehensive Reporting: GPT-based clinical summaries with severity grading
  • Multi-Source Input: Works with digital signals, paper scans, and photos
  • Real-Time Alerts: Immediate notifications for critical findings
  • Scalable Solution: From single clinics to hospital networks
Contact Information

ecg@intuitiverobotics.in

+91- 9433043040

565, Central Road,
Sonarpur, WB 700150