Leveraging Deep Learning Solutions for a 20-Minute Stress Cardiac MR Exam
Offered By: GE HealthCare via YouTube
Course Description
Overview
Explore cutting-edge deep learning solutions for streamlining cardiac magnetic resonance (CMR) exams in this 21-minute video presentation by Dr. Amit R. Patel, a distinguished Professor of Medicine at the University of Virginia. Learn how advanced artificial intelligence techniques are being applied to reduce stress CMR exam times to just 20 minutes, potentially revolutionizing cardiac imaging efficiency and patient care. Gain insights into the latest developments in medical imaging technology and their practical applications in cardiology from an expert in the field.
Syllabus
Leveraging Deep Learning Solutions to Move Towards a 20 Minute Stress CMR Exam
Taught by
GE HealthCare
Related Courses
Discovering Science: Medicinal ChemistryUniversity of Leeds via FutureLearn Medical Applications of Particle Accelerators (NPAP MOOC)
Lund University via Coursera At the heart of medical radioactivity
Université de Nantes via France Université Numerique Visualizing the Living Body: Diagnostic Imaging
Yale University via Coursera Clinical management of patients with COVID-19: Investigations and care for mild, moderate and severe disease
OpenWHO