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AI & Digital Cardiology
AI & Digital Cardiology
Artificial Intelligence in Interventional Cardiology: Rapid Diagnostics & Future Horizons
By Dr. Azhar ul Hassan Qureshi • July 20, 2026 • 4 Min Read
Artificial Intelligence (AI) and Machine Learning (ML) are transforming diagnostic cardiology. Neural networks analyze 12-lead ECG telemetry in real-time, detecting hyperacute ischemic changes and predicting occlusion myocardial infarction (OMI).
AI Innovations in Cath Lab Interventions:
- Automated ECG Telemetry: Instant neural network detection of subtle STEMI ECG waveforms.
- IVUS Lesion Segmentation: AI-powered plaque volume and lumen area calculation.
- Stent Expansion Optimization: Real-time automated co-registration with fluoroscopy.
Bridging Technology with Interventional Cardiology
Integrating AI with clinical acumen enhances early detection of subtle ischemic ECG changes and optimizes stent placement in complex Cath Lab interventions.
Written by Dr. Azhar ul Hassan Qureshi
Consultant Interventional Cardiologist • Rawalpindi Institute of Cardiology (RIC)
MBBS, FCPS Cardiology, FCPS Interventional Cardiology, EECC ESC. Member Ethical Review Board & AI Cardiology Researcher.