Machine Learning in Congenital Heart Disease - From Information to Intelligence

Explore the intersection of machine learning and congenital heart disease in this grand rounds presentation by Dr. Shelby Kutty, Helen Taussig Professor and Director of Pediatric & Congenital Cardiology at Johns Hopkins School of Medicine. Delve into the transformative potential of artificial intelligence in cardiac imaging, ultrasound, and echocardiography. Discover how machine learning is revolutionizing precision medicine in cardiology, particularly for congenital heart conditions. Gain insights into the latest advancements that are shifting the field from mere information gathering to intelligent decision-making processes. This 32-minute talk offers a comprehensive overview of cutting-edge technologies and their applications in improving diagnosis, treatment, and patient outcomes in pediatric and congenital cardiology.

Ochsner Grand Rounds: Machine Learning in Congenital Heart Disease: From Information to Intelligence