Artificial Intelligence in Radiology will provide imagers of all experience levels with the introductory information and foundational skills necessary to thrive in a future impacted by AI integrated healthcare. Developed in collaboration with Artificial Intelligence Medical Education (AiME), this activity is designed to demonstrate AI’s radiology applications, its potential to enhance clinical practice and its limitations. As such, this practical and clinically relevant overview will detail the strengths and weaknesses of this emerging technology
Artificial Intelligence in Radiology
Session 1: Big Picture AI
Overview, Terms and Methods
Jordan Perchik, MD
Preparing for the Future of AI in Radiology
Jordan Perchik, MD
Session 2: Radiology Appilcations I
AI Applications in Neuro Imaging
Jordan Perchik, MD
AI Applications in Breast Imaging
Jordan Perchik, MD
AI Applications in Abdominal Imaging
Jordan Perchik, MD
AI Applications in Cardiothoracic Imaging
Jordan Perchik, MD
Session 3: Radiology Applications II
AI Applications in Nuclear Imaging
Jordan Perchik, MD
AI Applications in Pediatric Imaging
Jordan Perchik, MD
AI Applications in MSK Imaging
Jordan Perchik, MD
AI and Workflow Optimization
Jordan Perchik, MD
Session 4: Economics, Ethics and the Marketplace
Economics and Ethics of Radiology AI
Jordan Perchik, MD
The AI Marketplace
Jordan Perchik, MD
Evaluating an AI Application
Jordan Perchik, MD
Session 5: Quality Assurance, Medicolegal Considerations and Education
Quality Assurance in Clinical AI
Jordan Perchik, MD
Medicolegal Considerations in Clinical AI
Jordan Perchik, MD
State of AI Education in Radiology
Jordan Perchik, MD
End
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