RSNA 2025 recap: AI adoption enters the era of execution

Throughout the conference — in sessions, exhibits and roundtables — it was clear that AI decision models are rapidly maturing. Discussions centered on fine-tuning algorithms, establishing governance frameworks, implementing continuous improvement cycles, and achieving measurable clinical and operational outcomes. Health systems are no longer treating AI as a standalone experiment; instead, they are embedding it into sustainable operating models as a core capability.

The era of isolated, one-off algorithms is fading. Vendors are now offering comprehensive, integrated solutions with a strong emphasis on precision medicine and clinical decision support. Scalable, enterprise-wide approaches are taking precedence. Large health systems are also exploring foundation models, leveraging their own data and forming partnerships with device companies to not only deploy AI internally but also explore long-term commercialization opportunities.

One of the most significant takeaways from RSNA 2025 was the growing demand for workflow intelligence. The reimagining of radiology workflows now begins upstream — with scheduling, patient preparation and protocoling — and extends downstream to triage, advanced visualization, reporting, communication loops and population health-level analytics.

Radiology leaders are no longer seeking tools that address isolated tasks. Instead, they are prioritizing holistic workflow optimization across the entire value chain. Real-time insights, dynamic task routing, intelligent prioritization and context-aware medical record integration are becoming essential. Accelerated product development and organizational execution are now critical factors in selecting AI service providers.

A recurring theme at RSNA 2025 was the growing ownership health systems are taking over their innovation journeys. They are moving quickly, iterating continuously and keeping clinician trust at the heart of every decision. AI solutions are expected to seamlessly integrate into existing workflows, not force a redesign around the technology.

This marks a significant maturation of the market. Providers now demand open ecosystems, interoperability, transparent model performance and scalable governance structures as their AI portfolios expand.

RSNA 2025 also highlighted a cultural shift toward collaboration. Genuine, structured, cross-organizational partnerships are becoming the norm. Startups, academic institutions and industry leaders are working closely with health systems to co-design solutions, responsibly share data and accelerate time-to-value.

This collaborative approach is driven by shared goals: addressing capacity constraints, streamlining workflows, enhancing diagnostic accuracy, and modernizing radiology without compromising quality or trust. The scale of this transformation is immense, and there is a growing recognition that no single stakeholder can achieve it alone. Coordinated ecosystem partnerships are emerging as the most effective path forward.

The radiology market is at a pivotal moment. AI is evolving from fragmented, task-specific tools to integrated workflow intelligence that also reduce care provider burnout. Radiologists are driving purchasing decisions. Precision medicine is gaining momentum. Foundation Models are finding their footing. Speed and operational efficiency are becoming the new benchmarks for success. Health systems are stepping up, demanding innovation that is trustworthy, interoperable and ready for rapid deployment with reliable results.

RSNA 2025 marked a turning point: AI in radiology is no longer a future aspiration — it is now an operational imperative.

We continue to set new standards in precision imaging and operational excellence. The unveiling of Verida at RSNA 2025 marks a pivotal moment: as the world’s first fully AI-powered, detector-based spectral CT system, Verida delivers up to 80% less noise, 30-second image reconstruction, and the capacity for up to 270 exams per day – all with spectral imaging always on. Built on a legacy of more than 800 installations and 35 million scans, Verida is redefining what’s possible in CT, empowering clinicians to achieve faster, more accurate diagnoses and better patient outcomes.¹

With the introduction of the BlueSeal Horizon, Philips is once again breaking new ground — this time in MRI. BlueSeal Horizon is the industry’s first helium-free 3.0T MRI platform, combining a high-performance magnet with advanced AI-powered software. This innovation eliminates the need for helium refills and vent pipes, reducing installation complexity, lifecycle risk and environmental impact. Clinicians benefit from ultra-sharp image quality, AI-driven speed and automation, and the freedom to install the system virtually anywhere. Features like SmartPlanning (now expanded to cardiac imaging), real-time scan preview and SmartSpeed Precise dual-AI reconstruction deliver faster scans, sharper images and streamlined workflows — helping radiology teams achieve consistent, first-time-right results even in the most complex cases.²

Together, Verida and BlueSeal Horizon embody Philips’ commitment to advancing precision imaging powered by AI — delivering better care for more people, supporting sustainability and driving the future of radiology. As we move forward, our focus remains on empowering clinicians, enhancing patient experiences and building a more resilient, efficient and environmentally conscious healthcare system.