Meet AI4Cardio
An offline desktop app for multimodal ECG and blood-report interpretation with explainability — built on a fine-tuned vision-language model so a primary-care worker in a rural clinic can get a specialist-grade cardiac diagnosis when no cardiologist is on site.
Analysis Results
AI-Generated Assessment
Clinical Assessment
ECG suggests a high probability of acute myocardial infarction, characterized by elevated cardiac biomarkers, particularly High-Sensitivity Troponin I, which is significantly elevated. The presence of elevated WBC count further supports the diagnosis. Final diagnosis: Acute Myocardial Infarction.
ECG Preview
The problem
When a patient with chest pain reaches a rural primary-health center, no cardiologist may be available. ECGs go un-interpreted in the critical first window; if biomarkers later confirm a STEMI, definitive diagnosis is delayed. Per NIH, this contributes to ~228 cardiac deaths every hour worldwide.
The solution
A 100% offline desktop app. Healthcare workers upload an ECG image and a blood report; the model returns a final diagnosis, an attention heatmap from the vision encoder, plus next-step and lifestyle recommendations. Because data never leaves the machine, it is HIPAA and GDPR compliant by architecture.
- ✓ Vision-language model fine-tuned on 1M ECG images (PULSE-ECG/ECGInstruct)
- ✓ Vision encoder exported to ONNX with dynamic 4-bit quantization
- ✓ LangGraph.js orchestrator coordinates multimodal analysis
- ✓ HalluNox projection-space hallucination check (in progress)
86.83%
Token accuracy
8 × A100
AIRAWAT supercomputer
103M+
Tokens processed
0.6188
Final training loss
The team behind AI4Cardio
Nandakishor M
CEO, ConvAI Innovations · Lead Developer
Built the desktop application, fine-tuned the model on AIRAWAT, and implemented the CMAS explainability layer.
Dr. Anjali M
Medical Director · Clinical Lead
Assistant Professor at Dr. Moopan's Medical College, Wayanad. Led dataset curation from clinical archives and provided medical validation of model outputs.
Try AI4Cardio for Windows
Runs entirely offline. No data leaves your machine.