Unlock the Power of Artificial Intelligence in Radiology

Empowering Imagers for a Future Driven by AI-Integrated Healthcare

Stay ahead of the curve with our comprehensive guide to Artificial Intelligence in Radiology, designed to equip imagers of all experience levels with the foundational skills and knowledge necessary to thrive in a future shaped by AI.

This informative resource has been developed in collaboration with Artificial Intelligence Medical Education (AiME), a leading authority in the field. Through a series of engaging sessions, we will delve into the world of AI in radiology, exploring its applications, strengths, limitations, and potential to transform clinical practice.

Session 1: Big Picture AI – Overview, Terms, and Methods

Jordan Perchik, MD: Preparing for the Future of AI in Radiology

In this introductory session, we set the stage for our exploration of AI in radiology, covering the essential concepts, terminology, and methods that underpin this emerging technology.

Session 2: Radiology Applications I – Unlocking the Potential of AI

• 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

Discover the exciting possibilities of AI in various radiology applications, including neuro, breast, abdominal, and cardiothoracic imaging.

Session 3: Radiology Applications II – Expanding the Horizons of AI

• 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

Explore the further reaches of AI in radiology, including its applications in nuclear, pediatric, and musculoskeletal imaging, as well as its potential to optimize workflow efficiency.

Session 4: Economics, Ethics, and the Marketplace – Navigating the Complexities of AI

• Economics and Ethics of Radiology AI – Jordan Perchik, MD
• The AI Marketplace – Jordan Perchik, MD
• Evaluating an AI Application – Jordan Perchik, MD

Delve into the economic and ethical considerations surrounding AI in radiology, and learn how to navigate the complex AI marketplace.

Session 5: Quality Assurance, Medicolegal Considerations, and Education – Ensuring Excellence in AI-Driven Radiology

• 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

Explore the essential aspects of quality assurance, medicolegal considerations, and education in AI-driven radiology, ensuring that you’re equipped to provide exceptional patient care in a rapidly evolving field.