Published
October 22, 2026

RSNA is always a place to see what’s new. But for many radiology organizations heading into this year’s meeting, the focus has shifted from “What’s new?” to “What’s right for us?”
Over the past few months, the Rad AI team has been hearing increasingly specific questions from radiology leaders evaluating reporting technology, from workflow fit and integration to migration and what actually differentiates one platform from another. These insights offer a useful starting point for organizations preparing to evaluate reporting solutions at RSNA.
Here are three themes we’re hearing ahead of RSNA 2026.
For some organizations, upcoming reporting platform changes are creating a natural moment to evaluate alternatives rather than automatically moving to the next version of what they already use. Radiology leaders are asking about structured reporting, analytics, AI integration and how a new reporting platform would fit into the broader workflow.
What this means before RSNA: Rather than treating a platform transition as a one-for-one replacement, use it as an opportunity to rethink your reporting workflow and prioritize outcomes, such as:
A demo should validate your priorities, not define them. Establishing these goals upfront gives you a clearer standard for evaluating which platforms can deliver meaningful improvements. For more guidance, read “A Great Demo Isn’t Proof.”
As AI-powered reporting options expand, radiology leaders are looking for clearer differentiation between platforms. We’re hearing questions about which capabilities are already working in production, how they’re being used in real clinical workflows and whether organizations with similar needs are seeing meaningful results. The differentiator is becoming less about what looks impressive in a demo and more about what’s proven to work in real clinical environments.
What this means before RSNA: When comparing reporting platforms, look beyond feature lists and polished demos to understand what each vendor can actually deliver.
Apply the same standards to every solution you're evaluating:
A great demo isn't proof. Ask vendors for measurable outcomes and customer-validated data that demonstrate the value their technology delivers in real clinical environments. For examples of real-world results, explore Rad AI's Outcomes Compendium.
Implementation questions are also emerging earlier in the evaluation process, as radiology leaders consider integration dependencies, migration requirements and governance alongside technological capabilities. Addressing these questions early helps organizations understand what a transition will require and how to move successfully from evaluation to deployment.
What this means before RSNA: Bring clinical, technical and operational stakeholders into the evaluation early. Beyond understanding what a platform can do, consider what it will take to implement, support and scale it across your organization. Ask vendors about:
A successful transition takes more than the right technology. Evaluate whether the vendor has a proven approach to implementation and can adapt to your organization's evolving needs at, and beyond, go-live.
We’ll be continuing these conversations at RSNA 2026. If reporting modernization is on your agenda, book time with Rad AI to talk through what your organization is evaluating and what you’re looking to solve.
Expand Your Expertise
The Readout explores the technologies, challenges and realities shaping where care goes next.
Radiology-First AI
Actually Works