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!
Course faculty Course registration Sponsors
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 |
| 5 minutes | Review key concepts and take-aways from day one |
| 40 minutes | Meet the Experts Panel—Industry Discussion Sponsored by Asher Informatics and Blackford |
| 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.