Discover the transformative impact of Artificial Intelligence (AI) in radiology through an insightful program designed in collaboration with Artificial Intelligence Medical Education (AiME). This course equips radiologists of all experience levels with the foundational knowledge and practical skills essential to navigate the AI-integrated future of healthcare. Unveil the potential of AI to elevate clinical practice, while understanding its applications, limitations, and the dynamic landscape it presents.
Session 1: Embracing AI’s Potential
Big Picture AI: Overview, Terms, and Methods
Presented by Jordan Perchik, MD
Preparing for the Future of AI in Radiology
Presented by Jordan Perchik, MD
Session 2: Radiology Applications I
AI Applications in Neuro Imaging
Explored by Jordan Perchik, MD
AI Applications in Breast Imaging
Discussed by Jordan Perchik, MD
AI Applications in Abdominal Imaging
Delivered by Jordan Perchik, MD
AI Applications in Cardiothoracic Imaging
Unveiled by Jordan Perchik, MD
Session 3: Radiology Applications II
AI Applications in Nuclear Imaging
Presented by Jordan Perchik, MD
AI Applications in Pediatric Imaging
Expounded by Jordan Perchik, MD
AI Applications in MSK Imaging
Covered by Jordan Perchik, MD
AI and Workflow Optimization
Analyzed by Jordan Perchik, MD
Session 4: Economics, Ethics, and the Marketplace
Economics and Ethics of Radiology AI
Explored by Jordan Perchik, MD
The AI Marketplace
Discussed by Jordan Perchik, MD
Evaluating an AI Application
Presented by Jordan Perchik, MD
Session 5: Ensuring Quality, Medicolegal Considerations, and Education
Quality Assurance in Clinical AI
Presented by Jordan Perchik, MD
Medicolegal Considerations in Clinical AI
Discussed by Jordan Perchik, MD
State of AI Education in Radiology
Expounded by Jordan Perchik, MD
Immerse yourself in this comprehensive course that bridges AI and radiology, and gain valuable insights into the intersection of these fields. Understand the strengths and limitations of AI, its potential impact on clinical practice, and its ethical and economic dimensions. Join us in shaping the future of radiology through AI integration.
Course Concludes with Expert Insights and a Vision for AI in Radiology’s Future
