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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Continuing Education
    • Preliminary Program
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
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    • Vendor Prospectus
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  • Register
Bruce_Richard_MD_887
Event Speaker

Richard J. Bruce, MD

Vice Chair of Informatics
University of Wisconsin – Madison

Dr. Richard Bruce is the radiology Vice Chair of Informatics at the University of Wisconsin-Madison. A large portion of his efforts are devoted to the clinical integration of AI across the entire spectrum of clinical workflows. This includes AI-assisted clinical decision support for ordering medical imaging through integration of AI within imaging modalities for and extends through radiologist interpretive workflows to actionable results communication and follow up within the EHR. There is a significant focus on providing infrastructure, processes, and tools for researchers to support efficient workflows for data discovery and AI model development. UW Radiology has a long legacy of informatics innovation through deep industrial partnerships. Dr. Bruce is involved in data and workflow integration across multiple partner systems. Dr. Bruce has been actively involved in computing resource and network implementation since the mid-1990s and previously worked as an internetwork engineer for Cisco Systems.

Sessions

How to Actually Use Foundation Models: From Classification to Agents Learning Lab

Presented by John Garrett, PhD, Richard J. Bruce, MD, Alan B. McMillan, PhD, Chris Burt , Jameson Merkow, PhD, Ivan Tarapov, MSc , Joshua Warner, MD, PhD Jun 10, 2026 | 10:00 AM.

Foundation Models—including Vision-Language Models and Large Language Models—are rapidly reshaping what is possible in medical imaging. Yet many imaging informaticists, researchers, and developers find a disconnect between the promise described in the literature and what can realistically be implemented in clinical and research environments. Questions around practical use, efficient adaptation, and system-level integration remain major…

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