Machine Learning in Congenital Heart Disease - From Information to Intelligence
Johns Hopkins Medicine via YouTube
Live Online Classes in Design, Coding & AI — Small Classes, Free Retakes
2,000+ Free Courses with Certificates: Coding, AI, SQL, and More
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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.
Syllabus
Ochsner Grand Rounds: Machine Learning in Congenital Heart Disease: From Information to Intelligence
Taught by
Johns Hopkins Medicine