The Future of AI in Radiology

A forward-looking discussion on where AI can have the greatest impact in radiology, from transforming how reports are generated to reducing cognitive burden and improving follow-up care. Drs. Eliot Siegel, Jeff Chang and Sonia Gupta explore how AI can help radiologists work more efficiently, improve report quality and consistency, reduce burnout, and ensure significant incidental findings receive appropriate follow-up.

Objectives:

• Explore where AI is poised to have the greatest near-term impact on radiology practice and reporting.
• Understand how AI can reduce cognitive load, reporting burden and fatigue amid growing imaging volumes.
• Examine opportunities to improve the consistency and accuracy of radiology reports through automation, error checking and guideline recommendations.
• Discuss how AI can help close the loop on significant incidental findings and improve continuity of patient care.

Speakers:

• Eliot Siegel, MD, Vice Chair of Imaging Informatics, University of Maryland School of Medicine
• Sonia Gupta, MD, Abdominal radiologist and AI thought leader
• ‍Jeff Chang, MD, Radiologist, co-founder and president, Rad AI