Thank You to Sirona for Sponsoring this Industry Partner Webinar
When systems unify, the practice of radiology is transformed.
AI is rapidly evolving from single-task algorithms into systems capable of reasoning, planning, and acting across end-to-end clinical workflows. At the same time, radiology practices are facing mounting pressure to maintain profitability and strategically evolve their business in the face of rising volumes, staffing shortages, reimbursement compression, and growing operational complexity. Fragmented IT infrastructure is holding radiology back. Without a modern foundation, AI cannot be deployed at scale to drive efficiency, unlock new economic value, or fundamentally transform how radiology operates.
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
- Alexander Kagen, MD, FACR – on how leading health systems evaluate and integrate next-generation AI and workflow platforms
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 real-world decision processes 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).
To receive credit, registrants must view the entire webinar and then complete the post-webinar survey. Webinar credits will only be awarded one time per webinar view, regardless of if the learner watches the content live or on-demand.
Note: In order to receive credits for any events/learning you attend you must select your eligible credit types found in the CE & Certification section of your MySIIM Account profile.
To access the webinar, once you are registered navigate to My Learning in your My SIIM Account profile.
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Alexander Kagen, MD, FACR
Ken Kaufman
Curt Langlotz, MD, PhD, FSIIM
Mark Longo, PhD
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