AI4CARDIO
by Convai Innovations
Revolutionizing Cardiac Diagnostics with AI
✓ Accepted for publication in BMJ Digital Health and AI
The Critical Problem We're Solving
India faces a cardiac care crisis where 1.5 million lives are lost annually
62% Misinterpretation Rate
ECG misinterpretation rate in emergency departments leads to dangerous diagnostic delays and increased mortality.
2-4 Hour Delays
Critical diagnostic delays where every minute increases mortality risk by 10%. Time is literally life.
Severe Specialist Shortage
Tier 2/3 cities and rural areas serving 70% of India's population lack access to cardiac specialists.
No 24/7 Coverage
15,000+ daily ECGs require expert review, but specialist availability is limited, especially during nights and weekends.
1.5M+ Lives Lost Annually
Due to delayed cardiac diagnosis in India. Every minute of delay increases mortality risk by 10%.
Our AI-Powered Solution
Transforming ECG interpretation from a 2-4 hour bottleneck to a 30-second automated analysis
Image/PDF/Scan - Any ECG format, hardware agnostic
Vision encoding, pattern detection, multi-modal AI
Detailed diagnosis, 71 conditions, clinical reasoning
Physician reviews and treats patient
Lightning Fast
30-second expert-level ECG interpretation vs. 2-4 hours traditional wait time
Highly Accurate
98% accuracy (AUC 0.98) validated on 1000+ ECGs by expert cardiologists
Comprehensive
Detects 71 cardiac conditions with detailed diagnostic reasoning and treatment recommendations
Hardware Agnostic
Works with any ECG machine - accepts images, PDFs, scans without proprietary hardware
Cost-Effective
₹1,500-36,000/month - 3-5× more affordable than competitors like Tricog
Easy Integration
ABDM/NDHM compliant, REST API for seamless EHR/EMR integration
State-of-the-Art Technology
Built on cutting-edge LLaMA 3.2 Vision with custom fine-tuning
🎨 Vision-Language Model
- •Multimodal LLaMA 3.2 Vision 11B
- •32-Layer Local + 8-Layer Global Encoder
- •Cross-Attention at 5 layers
- •Vision Transformers for image processing
📝 NLP & Report Generation
- •LLaMA 3.1 8B (40 Layers)
- •Clinical report writing & medical reasoning
- •7680-dim visual features projection
- •Detailed diagnostic explanations
🔬 LoRA Fine-Tuning
📊 Classification Metrics
📋 Report Generation
Our Impact & Mission
Democratizing specialist-level cardiac care across India
🎯 Target Beneficiaries
Direct Beneficiaries
- • 200M+ Indians with cardiovascular conditions
- • 900M+ people in tier 2/3 cities & rural areas
- • 15,000+ hospitals nationwide
- • 50,000+ general practitioners and nurses
Indirect Beneficiaries
- • 5,000+ cardiologists (reduced burden)
- • 100M+ Ayushman Bharat beneficiaries
- • Indian Healthcare System efficiency
- • Families of cardiac patients
🌍 UN SDG Alignment
Our Mission
To make specialist-level cardiac diagnosis accessible to every Indian, reduce cardiac mortality through AI, support the Ayushman Bharat mission, and bridge the urban-rural healthcare gap.