
Applied AI in Cardiology
This advanced-level course provides in-depth knowledge and practical experience in leveraging artificial intelligence (AI) to enhance cardiology practices. Participants will explore AI applications in cardiac imaging, ECG analysis, predictive analytics, heart failure management, population health, robotic surgery, and clinical trials. The course includes hands-on projects, real-world datasets, and interactive sessions to prepare healthcare professionals and researchers to integrate AI into cardiology for improved diagnosis, treatment, and patient care.
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Course Duration:
30 hours
Level:
Advanced

Course Objectives
Understand the evolution and current applications of AI in cardiology.
Gain expertise in using AI for cardiac imaging, ECG analysis, and predictive modeling.
Explore AI applications in heart failure management and robotic-assisted cardiac surgery.
Analyse ethical and regulatory challenges in AI integration within cardiology.
Develop and present a capstone project addressing a real-world cardiology challenge with AI solutions.
Prerequisites
Background in cardiology, biomedical research, or healthcare.
Basic knowledge of AI, machine learning, and data analysis techniques.
Familiarity with programming languages like Python and tools such as TensorFlow or PyTorch is recommended.
