How to Cut Through the AI Noise at RSNA 2025

This year’s RSNA will once again feature a crowded showcase of AI tools and platforms. These technologies continue to promise to revolutionize how radiologists work, but for radiologists, the conversation has evolved from hypotheticals and demonstrations to practical scrutiny. 

Radiologists aren’t looking for promises anymore. They’re looking for proof. 

Booths will still feature flashy demos and make moonshot claims, but the questions radiologists will be posing will be different from years prior. That’s because clinicians are learning to approach AI for what it is – an every-day utility that should meaningfully improve their work. 

But the noise still exists, and it’s louder than ever. How do you sift through a sea of solutions to find potential partners that can actually improve your clinical output and relationship to work?

The key to identifying practical applications that solve the real-world challenges you face at work every day requires a clear strategy. 

The most critical part of evaluating an AI solution is understanding its proven ability to improve workflows, reduce burnout and ultimately benefit patient care. Know that the best solutions will save you time, fit seamlessly into your preferred workflow, and make your reports sharper, faster and frictionless. 

Here’s how to find them. 

How to Evaluate AI Amidst the Noise

As you walk the showroom floor at RSNA, keep a few core principles in mind (and come prepared with a few questions, for yourself and for potential partners) to help filter out the noise and pinpoint the AI partners that can truly enhance your practice.

1. Prioritize Workflow Integration

An AI tool is only valuable if it fits naturally into your existing process. Any solution that requires you to open another window, learn a complex new interface, or fundamentally change how you read studies will be much more likely to create friction than efficiency. 

The goal should be seamless integration that feels like a natural extension of the way you like to work, not another task or technology for you to manage. 

2. Expect Measurable, Real-World Outcomes

Impressive-sounding claims are easy to make, but without proof, they don’t mean much.

At RSNA 2025, don’t just look for evidence of results – demand it. A potential partner committed to delivering real value will have the information you need to make an informed decision readily available. Rad AI customers, for example, have reported saving over 60 minutes per shift by significantly reducing dictation time. 

3. Focus on Solutions That Address Radiologist Burnout

Burnout is one of the most significant challenges in radiology today, driven by rising case volumes and increasing administrative burdens. The right AI should serve as a powerful ally in combating this.

Seek out solutions designed to automate repetitive, time-consuming tasks. AI that can automatically generate impressions or streamline the measurement of findings will free you to concentrate on high-level interpretation and clinical decision-making. By reducing mundane work, these tools can restore focus and improve job satisfaction.

Find Rad AI at RSNA 2025 

Rad AI’s view is simple: AI should make a radiologist’s day easier and the patient’s care better. If AI is doing that, then it’s valuable. It’s why our solutions are deployed in live clinical settings across more than 200 sites and have demonstrable impact on turnaround time, dictation burden and radiologist well-being.

This year’s RSNA will be a signal that the stakes for AI in radiology are rapidly shifting from concept to clinical scale. If you want tools that are already proving value in practice, prioritize solutions that can show adoption, outcomes and a plan for safe and continuous governance.  

If you’re attending RSNA 2025, we invite you to take a practical look at AI with us. Book a meeting with Rad AI at RSNA to review real-world results and see how AI is being operationalized and scaled in health systems and radiology groups across the country.