Thank You to Sirona for Sponsoring this Industry Partner Webinar
When systems unify, the practice of radiology is transformed.
As AI evolves from single-task algorithms into agentic systems that can reason, plan, and act across workflows, fragmented IT infrastructure and data becomes a critical barrier to deploying transformative solutions. Without unified data and workflow foundation, even the most advanced AI remains trapped inside narrow tools that provide limited impact.
In this panel discussion, leaders from academia, platform innovation, and healthcare delivery will explore how unified data models that support unified platforms are transforming workflow today and in the near future.
You’ll hear from:
- Curt Langlotz, MD, PhD, FSIIM, Stanford – on what true AI intelligence can deliver and what it requires
- Ken Kaufman, Sirona – on why healthcare platforms must replace fragmentation with a unified data model
- Nasir Siddiqui, MD, Akumin – on how Akumin evaluated and selected Sirona as it implements its next-generation AI and workflow platform
Objectives
- Discuss why fragmented radiology IT and data architectures limit the clinical and financial impact of AI — and how unified data models enable AI systems to reason, coordinate, and act across workflows.
- Evaluate how cloud-native, unified platforms are transforming radiology operations today, including workflow efficiency, reporting quality, and the deployment of advanced AI applications.
- Explore how leading health systems are selecting and implementing unified AI and workflow platforms, using Akumin’s real-world decision process as a case study for moving beyond point solutions.
Additional Resources:
CE Credit
SIIM has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).
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To access the webinar, once you are registered navigate to My Learning in your My SIIM Account profile.
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Curt Langlotz, MD, PhD, FSIIM
Nasir Siddiqui, MD
Ken Kaufman
Mark Longo, PhD
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