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Five Things to Watch in 2019 — Observations From RSNA 2018


5 Things to Watch from RSNA 2018

Another year, another RSNA conference. There was more to see and learn than one mortal can absorb in a week, but this edition of Radiology Today's annual 5 Things to Watch will attempt to slice some of the notable news and trends from RSNA 2018 into manageable portions.

I'll get the Captain Obvious part of this article out of the way by noting that AI was once again a hot topic. What I found interesting, however, is that the discussion is beginning to move from the "what" phase to the "how" phase. To be more specific, there wasn't quite as much emphasis this year on what AI can do. Instead, there was decidedly more talk about how it can be integrated into radiology practice. It seems that fears about AI replacing radiologists are receding into the background, at least for the foreseeable future.

Many AI discussions tracked with ideas relating to value in radiology, and several people talked about ways that AI may be able to increase productivity, alleviate workflow issues, and allow radiologists to spend more time focusing on patient care. The fact is there were many more than five interesting conversational threads, some AI related and some not, but here are the ones that, for one reason or another, stood out.

1. Better Images Through AI

One of the interesting uses of AI that was on full display this year was its ability to improve image quality rather than identify specific features. While companies such as ContextVision have been doing this for a few years, many other vendors at this year's show were also showcasing algorithms that improve image quality. For X-ray, CT, and PET, these algorithms produce diagnostic-quality images with significantly lower radiation doses. For MR, they reduce the amount of time needed to obtain the necessary images. Some algorithms even optimize patient positioning to reduce the dose and/or time needed to acquire an image.

The Big Four, of course, each touted algorithms of one sort or another that addressed image acquisition, as did HeartVista (MR), Konica Minolta (DR), MedicVision (MR), and Subtle Medical (MR and PET), among others. As these types of algorithms become more refined, they offer the potential to dramatically improve workflow and safety. I'll be interested to see how long it takes to achieve the much sought after five-minute MR scan.

2. AI Aggregators

Whether they're referred to as platforms or marketplaces, more companies are focusing on bringing AI to the masses. Much like Apple's App Store or Google Play, the concept makes sense. Rather than hunting for an algorithm that performs a specific task, most busy people would rather have a pool of algorithms to choose from. Aggregators also make it easier for developers to get their algorithms in front of a larger audience.

Nuance, in partnership with NVIDIA, debuted its AI Marketplace at RSNA 2017, and others have since joined them. Arterys is actively building out its AI network to make it interoperable across vendor platforms. Fujifilm's REiLI, MEDNAX's MDR-AI Incubator, Philips' IntelliSpace Discovery 3.0, and Fovia's F.A.S.T. AI Suite are other offerings that aim to connect developers with radiology departments. Hey Google, download the intracranial hemorrhage app.

3. Blockchain

An interesting technology making its way into the radiology space is blockchain. There has been talk for a couple of years about adapting it for the imaging marketplace, but it seems to be finally gaining traction; a recent article in the Journal of the American College of Radiology cited blockchain as a hot market trend.

NucleusHealth has been working on radiology-specific blockchain projects for a while, and Change Healthcare recently acquired PokitDok, which should allow it to expand its blockchain offerings beyond what it already has.

The goal is to create a means of exchanging patient data that allows security and transparency. Proponents believe blockchain has the potential to reshape the market by improving governance of patient data. As Michael Averbach, CEO of Medical Diagnostic Web, told me at the show, "The people who operate the marketplace should decide how it runs."

(For more on blockchain, see our feature on page 16.) 4. What About China?

China was also a hot topic of conversation. More than a dozen first-time exhibitors were from China, and it was hard to miss the United Imaging Healthcare booth. It appears that Chinese companies are aiming for a larger share of the American imaging market, and with China's business-friendly policies, those companies should receive plenty of support. One person I spoke with believes that Chinese co