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Learn to navigate the hype around AI solutions for radiology and get the practical, relevant information you need to make informed implementation decisions for your practice.

During this two-day, virtual course, you’ll gain an in-depth understanding of AI research concepts, products and deployment challenges. Plus, you’ll develop the critical evaluation skills you need to contribute to the ongoing integration of AI tools in clinical practice.

Review the course details below and register today!

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Who should attend this course?

Practicing radiologists from academic and private practices in all career stages and those who are involved in decision making for AI applications within their organization (clinical, IT, etc.).

Course information

During Implementing and Evaluating AI for Radiology, you'll explore case studies and clinical applications for AI and attend live lectures and Q&A sessions with expert course faculty, including Nina E. Kottler, MD, MS, William W. Boonn, MD, and Ryan K. Lee, MD, MBA.

Dates & time: March 14 & March 21, 2024; 10 a.m. – 12:30 p.m. ET
Course format: Interactive, virtual course
Course language: English

Learning objectives
  • Explore radiology use cases for AI 
    • Identify common applications of AI in radiology, such as image interpretation, disease detection and workflow optimization. 
  • Integration into clinical workflow 
    • Evaluate strategies for integrating AI systems into existing radiology workflows. 
    • Address regulatory and ethical considerations when deploying AI in clinical settings. 
  • Evaluation and validation 
    • Identify methods for evaluating the performance and safety of AI models in radiology. 
Program preview
Day one—March 14, 2024
Session length Session
5 minutes Welcome and introduction
40 minutes AI in Radiology: Uses and Clinical Applications
5 minutes Break
55 minutes Getting Started: Understanding and Evaluating Your Needs
5 minutes Break
40 minutes Meet the Experts
Panel discussion/Live Q&A/Breakout discussions
5 minutes Review key concepts and take-aways from day one
   
Day two—March 21, 2024
Session length Session
5 minutes Welcome and introduction
80 minutes Implementing AI in Your Radiology Practice
5 minutes Break
40 minutes Meet the Experts
Panel discussion/Live Q&A/Breakout discussions
5 minutes Review key concepts and take-aways from day two
   

Contact us

Questions? Contact us at customerservice@rsna.org.