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Learn about the transformative potential of artificial intelligence in ECG interpretation through a comprehensive presentation by Senior Data Scientist Manolis Kargiantoulakis from GE HealthCare's Diagnostic Cardiology division. Explore current applications and future developments of AI technology in clinical ECG analysis, understanding how machine learning algorithms can enhance diagnostic accuracy and streamline cardiac care workflows. Gain insights into the practical implementation of AI-ECG systems in healthcare settings and discover the evolving landscape of cardiac diagnostics powered by artificial intelligence.
Syllabus
Bringing AI-ECG to clinical practice
Taught by
GE HealthCare