Course program

Registration for this course is now closed—but there's still time for registrants to continue learning. Registrants can access a live recording of AI Implementation: Building Expertise and Influence in the Online Learning Center through December 31, 2021. Registrants must log in to view the recording.

Build a foundational knowledge of artificial intelligence (AI) and equip yourself with the expertise to effectively implement AI at your practice and create a more productive workplace. This virtual course led by AI experts will help you better understand deep learning and to confidently make decisions around vendor selection.

During this course, participants will attend a live demo, participate in small group discussions and network with peers and presenters. 

Learning objectives

After attending this course, participants will be able to:

• Identify learning strategies to translate practical theories in artificial intelligence (AI) into clinical practice.
• Explain the current clinical applications of deep learning in radiology.
• Consider the pre-implementation and implementation complexities, including ethical, legal and social implications, before adopting AI into a radiology practice.
• Detail a grounded outlook on the current limitations and future possibilities in radiology AI.

AMA Credit Statement

The RSNA designates this live activity for a maximum of 7.50 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

ACCME Accreditation Statement

The Radiological Society of North America (RSNA) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. 

Program presentation times are in GMT.