Data-driven tools are reshaping cardiovascular care pathways. The Digital Cardiology and AI session surveys artificial intelligence, machine learning, wearable sensors and telehealth that enable earlier detection, risk prediction and remote management. Speakers will present AI models for imaging interpretation, automated ECG algorithms, predictive analytics for readmission risk, and federated learning approaches that protect privacy while enabling multi-centre model training. Workshops will cover model development lifecycle, bias mitigation, explainability, regulatory considerations and clinical integration. The session examines digital therapeutics, remote monitoring workflows and the role of cloud platforms for scalable deployments, and highlights the evidence required to move algorithms from bench to bedside. Attendees will gain practical guidance on validation, implementation science and how to structure partnerships between clinicians, data scientists and industry to deliver safe, effective, and equitable digital solutions—aligned with the Digital Cardiology Conference programme and hands-on demos of AI-enabled imaging tools.