RSNA 2022 is officially a wrap. We hope you had a blast if you made it, and had a great week if you stayed home. We also hope you enjoy our recap of radiology’s most important event in at least three years.
Crowds & Conversations – RSNA’s attendance and overall energy continued to trend upward, as most of the 31k people on-site were super engaged and truly excited to be there. Although attendance was still well below RSNA 2019 (~49k on-site), it was a big jump from last year (~23k on-site), and infinitely better than 2020’s virtual RSNA.
Much Rad Love – If you had “I’m not a radiologist but…” on your RSNA bingo card you’d be in a good spot, because the exhibit hall was full of non-rads talking about how to help radiology teams be more effective and more satisfied.
Focus on Productivity – Perhaps due to all that vendor empathy, just about every new product (hardware and software) focused on eliminating steps / clicks / interruptions, improving workflow integration, alleviating burnout and labor challenges, and better matching diagnostic processes.
Getting Cloudy – There’s no debate that imaging’s shift to the cloud was one of RSNA’s top trends, as informatics vendors continued to strengthen their cloud capabilities and expand their list of cloud-based customers (especially if you include hybrid). There were, however, plenty of debates about who’s cloud tech is truly native and who’s aren’t.
AI’s Two Sides – It seems like many folks are still in AI’s “trough of disillusionment,” as conversations often drifted towards problems with AI’s performance, use cases, funding climate, and provider ROI. However, AI adoption has never been wider, AI products have never worked better, and there are plenty of AI trends to be excited about…
- AI is becoming less narrow
- AI workflow integration keeps getting better
- More radiologists are interested in AI
- There’s solid traction with operational and efficiency AI
- We’re not talking about AI replacing radiologists (as much)
Modality Progress – Although there were only a handful of completely new scanners at RSNA, the major OEMs showed continued advancements in MR (image quality, low-helium, low-field, reconstruction, coils) and CT (spectral, photon-counting, upgradability), while nearly all scanners took big strides in operator efficiency.
Radiology faces plenty of challenges, but it’s populated by some of the smartest people in medicine/medtech who are working hard to solve those challenges. Hats off to the RSNA team for getting all the smart people together every year to push those solutions forward.