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RSNA 2025 AI Theater

RSNA 2025 AI Theater Presentations

The Next Frontier in Neurodiagnosis:
AI-Enhanced Image Acquisition and Reconstruction

Sunday, November 30th 3:00-3:20pm Central Time
McCormick Place, AI Theater – South Hall, 5536

This session will explore the latest advancements in AI-driven imaging, emphasizing their potential to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes. Dr. Kevin Berger will explain how AI technologies such as Intelligent Motion Correction (IMC) on the acquisition side and deep learning reconstruction techniques (AiCE and PIQE) can significantly improve image quality and strengthen clinical confidence. In addition, he will highlight how he utilizes multi-contrast MRI techniques from SpinTech to advance neurological assessment, providing richer insights into brain pathology and disease progression.

Kevin Berger, MD

Kevin Berger, MD
Director of PET/CT and Nuclear Medicine
Chesapeake Medical Imaging

AI for Quality and Efficiency

Wednesday, December 3rd 2:30-2:50pm Central Time
McCormick Place, AI Theater – South Hall, 5536

Canon Medical invites you to attend and learn more about how Artificial Intelligence is making a difference in the Radiology department and is being leveraged to improve quality and efficiency. The potential of AI in the areas of Radiology spans personalized medicine, decision support, quality improvement and operational efficiency. In this presentation Dr. Eliot Siegel will discuss the potential for Artificial Intelligence for improving Quality and Efficiency in the Radiology department. Quality and efficiency in the Radiology department can be addressed with a wide array of AI technologies, but the choice and impact of the right technologies can be a challenge. The presentation will review emerging AI technologies and examine how they improve quality and efficiency and impact the delivery of clinical care.

Eliot Siegel, MD

Eliot Siegel, MD
Professor of Radiology and Vice Chair
University of Maryland School of Medicine