The course introduces AI in cardiology, starting with its evolution and role in clinical workflows. You’ll then build core skills to interpret AI outputs, apply them critically, and know when to question algorithmic recommendations. Using case-based learning, it covers diagnostic applications such as cardiac imaging, ECG analysis, and risk prediction. The course shows how to integrate AI into real clinical workflows to improve efficiency while preserving clinical judgment.

It also focuses on patient-centered use of AI, including communication, remote monitoring, and personalized care. Key governance issues, such as bias, privacy, regulation, and ethics, are addressed with practical frameworks. Finally, you’ll develop strategic skills to assess emerging technologies and design practical, achievable adoption plans for your own clinical practice.