SIIM25: CCO Reflections
By Mark Koeniguer, Chief Commercial Officer, iCAD
Attending the Society for Imaging Informatics in Medicine (SIIM) annual meeting in Portland was a welcome opportunity to connect with peers and take stock of the growing momentum across imaging IT. The energy from the exhibit floor and sessions, especially around AI and reporting, was unmistakable.
One theme came through clearly: radiology workflows are evolving fast, and interoperability is now mission-critical. There is increasing demand for workflow-enhancing technologies that support radiologists. From structured, AI-enhanced reporting systems to seamless cloud integration, the emphasis was on improving productivity and decision-making at scale.
AI Adoption is no Longer a Question of “if” but “how”
These conversations echoed iCAD’s own priorities: delivering clinically meaningful tools that seamlessly elevate both the radiologist’s experience and the patient journey. As AI adoption continues to accelerate, particularly in the cloud, SIIM reinforced that the next frontier of innovation will be defined by smarter integration and sustained clinical impact.
From our time collaborating at SIIM, it’s clear that AI adoption is no longer a question of “if” but “how” and how fast. But speed needs to be paired with stability and scalability. That’s where iCAD’s flexible and increasingly cloud-delivered solutions offer real value.
ProFound Detection v4.0: Priors and Early Cancer Detection
iCAD’s latest FDA cleared ProFound Detection Version 4.0 significantly advances early cancer detection and reading workflows by introducing the ability to integrate prior mammograms directly into the current AI analysis. This functionality allows the system to compare past and present images, automatically displaying both the prior and current ProFound AI case scores along with the date of the earlier exam.
For radiologists, this creates a more streamlined and intuitive workflow, enabling faster, more informed comparisons that can improve diagnostic confidence and reduce reading time. For patients, the integration of priors means more personalized, longitudinal insights that support earlier detection of subtle changes, particularly important for those with complex or dense breast tissue.
Delivering Smarter, More Precise Breast Care
By embedding this level of continuity into the AI workflow, Version 4.0 bridges the gap between single-point exams and long-term patient management, reinforcing the value of interoperable tools in delivering smarter, more precise breast care.
It was inspiring to see the accelerating focus on AI-enhanced reporting, streamlined workflows, and meaningful user experience design. The radiologist’s time is precious, and the systems we deploy must deliver both clinical confidence and efficiency.
Thanks to all who stopped by to connect. The conversations we had in Portland reaffirmed what we’ve believed all along: interoperability is not a feature—it’s a foundation.
Together, we’re creating a world
where cancer can’t hide.
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