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SIIM Annual Meeting
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SIIM Annual Meeting
  • Attend
    • Who Attends
    • Networking Events
    • Hotels & Venue
    • Preliminary Program
    • Press Registration
    • Justification Letter & Tips
    • Health & Safety
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
    • Learning Zones
      • AI Playground
      • Hackathon
      • Learning Theaters
      • Ask the Informaticists
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • Tech Expo
    • InformaticsTECH Day
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit+Sponsor
    • Exhibit Signup
    • Sponsor + Advertise
    • Booth Contract
    • Rules & Regulations
    • Exhibitor Resources
    • Vendor Prospectus
    • Suitcase Marketing Policy
  • Register Now
Kline Time
See Full Speaker List
Event Speaker

Tim Kline, PhD

Assistant Professor of Radiology
Mayo Clinic

Sessions

Charting the AI Frontier: Interdisciplinary Strategies for Implementation, Integration, and Operation

Presented by Michael Toland, BA , Tim Kline, PhD, Nikki Fennell, CIIP May 21, 2025 | 5:15 PMOregon Ballroom 201

As artificial intelligence (AI) continues to reshape the landscape of healthcare, it is crucial for interdisciplinary teams to be ready for its addition to imaging departments. This session will delve into the fundamental steps required to prepare your organization for AI adoption, focusing on training initiatives for various stakeholders – from IT professionals and technologists…

Measuring and Maximizing Clinical Impact: Lessons from Post-deployment AI Monitoring

Presented by Nina Kottler, MD, MS, FSIIM, Vera Sorin, MD, Jason A. Poff, MD, Tim Kline, PhD, Christoph Wald, MD, PhD, MBA May 21, 2025 | 3:00 PMLearning Theater 2 - Expo Hall

When a healthcare center develops its own medical AI models, it assumes long-term responsibility for ensuring that performance remains consistent over time. This session will explore best practices for pre-deployment validation, post-deployment monitoring, and strategies to bridge the gap between theoretical AI performance and real-world clinical outcomes. We will discuss how rigorous local validation can…

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