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Signify Premium Insight: Medical Imaging Modality Predictions for 2022

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Co-written by Bhvita Jani, Mustafa Hassan and Simon Harris

By the end of summer 2021, the worst of the coronavirus pandemic appeared to be over. Providers were now tasked with dealing with the enormous backlog of patients whose elective procedures and screening scans were postponed because of the emergency restrictions brought in as a result of the Covid-19 pandemic. As 2022 begins, however, the threat of Covid is back with a new variant threatening to cause further disruption. Against this backdrop, medical imaging modality vendors had been performing strongly, but 2022 will see them need to offer the products and technologies that can help providers with this disruption. They will also need to look after their own houses, and make sure the global and economic volatility does not prevent them doing business. In light of that, here are five predictions that we expect to define the year ahead.

Supply chain management will be crucial

Challenges within hospitals have dramatically intensified as a result of the Covid-19 pandemic, however, there are other, global challenges that vendors must also countenance. Chief among these are the supply chain issues that are affecting companies from almost every sector, with reports from carmakers, food producers, electronics manufacturers and others all being hit.

Medical imaging systems vendors are not immune from this challenge, with almost all the major vendors noting the issue in their latest results presentations. This disruption is likely to have several significant impacts. Semiconductor chips are among the products which have been impacted most acutely. The scarcity of these chips will mean that vendors will have to prioritise their use, using them first in systems that command higher-prices and higher margins, this will drive up the average selling price of systems, compounding increases caused more directly by a shortage of supply.

Smaller vendors are likely to be most impacted by these shortages. Larger vendors have the buying power and international reach to better mitigate against shortages. They have the reserves to stockpile essential resources, and the ability to broker deals with new suppliers across the world.

This supply chain disruption and component shortage will impact every vendor, so will not, in and of itself, favour any vendor over any other. However, how vendors deal with the disruption will have a huge impact. Orderbooks are brimming, but that means naught if vendors cannot manufacture and supply the systems needed to meet them. Management of supply chains will therefore become one of the major differentiators between vendors throughout 2022.

The democratisation of medical imaging will be accelerated by larger vendors

Imaging has already started its journey out of hospital imaging departments. This transition has in many cases been driven by young vendors which mark this decentralisation as their mission. Butterfly Network is among the highest profile of these, having leveraged a new technology and new business models to quickly become one of the market leaders in handheld ultrasound, making its devices an increasingly common sight across inpatient and outpatient settings. Other new vendors, both within handheld ultrasound, such as Exo Imaging, Pulsenmore, and Vave, and elsewhere, such as Nanox, Turner Imaging Systems and Hyperfine, are hoping to imitate Butterfly Network’s success in the transition of imaging out of the hospital.

In 2022 this will change. Large imaging vendors have been a part of medical imaging’s transition away from imaging departments in the past, but this year will see those efforts intensify. This is, in many instances, a result of larger vendors having to create new markets if they are to be able to continue to deliver on their growth forecasts. Growth opportunity within hospital’s radiology departments is limited. This is compounded further by the transition of many providers to longer-term, more holistic vendor partnerships, which further limit sales opportunities for vendors looking to displace competitors.

New clinical settings can provide these sales opportunities. Vendors such as Siemens Healthineers, which late last year announced its MAGNETOM Free.Star MRI scanner are indicative of larger vendors looking to target these opportunities. Siemens, as well as other vendors such as GE Healthcare and Philips have focused on making their products more accessible, with factors such as smaller space requirements and lower infrastructure needs, as well as lower cost and facilitation of less experienced technicians all making their system’s adoption by emergency rooms, orthopaedic, paediatric departments, and outpatient centres more likely in 2022.

Vendors and providers will focus on advanced imaging systems

While there are still growth opportunities across medical imaging, with a range of different modalities performing strongly in 2021, the potential for technical development and innovation within advanced modalities such as MRI and CT means that vendors will be keen to focus on these categories in the coming year.

These modalities offer strong opportunities for growth. Innovations can represent significant steps forward and will give customers and potential customers impetus to buy new systems or replace existing systems. Vendors have responded to this opportunity, and  have already been making sizeable technological leaps forward, with Philips launching a new detector-based spectral CT system early last year, and Siemens officially launching its photon-counting CT system, after it received regulatory approval in September. There were several other products launched at RSNA too, with GE, Canon and Fujifilm launching new MRI and CT products at the event.

These advanced systems will be key battlegrounds for vendors who will look to use their systems to satisfy providers’ ever-present appetite for increased image quality, and, bolstered by improved software and automation, be keen to sell the systems into more departments and clinics than ever before.

There are also other facets to this greater adoption of advanced imaging systems. Another element is the increasing uptake of hybrid systems. As clinical precision continues to play a paramount role in delivering positive patient outcomes and first-time right diagnosis, the adoption of hybrid imaging systems in high-end facilities will accelerate the convergence of different imaging modalities, offering benefits such as seamless workflows with all required imaging modalities to be easily accessible in one room. One of the more recent examples of this is Philips’ latest spectral CT system, which can be used for both CT and interventional applications, for advanced guidance during procedures.

Some of the biggest advances will be seen in medical imaging workflow

Providers’ ongoing desire to acquire better image quality means that they will continue to rely on MRI and CT imaging. However, using these systems can be relatively time consuming and resource intensive.  For providers facing an unprecedented backlog of patients amidst a shortage of fully trained and experienced personnel, this could present a challenge.

However, 2022 will see this obstacle partly addressed by the increased adoption of advanced workflow tools. Providers will, for instance, adopt AI-powered workflow solutions that can be used to maximise the efficiency of medical imaging and increase patient throughput, thereby effectively resulting in a higher return on investment.

These tools, in essence, look to improve patient scheduling, increase the speed at which scans can be conducted and reduce the need for time consuming rescans. This will be achieved through the use of several types of solutions, including those which help support patient positioning; automatic and intelligent protocolling tools which ensure that the parameters of systems are set correctly for the patient to be scanned; and automatic image accept and reject tools to make sure any scans which are not of the requisite quality can be caught early.

Such tools will be particularly valuable in 2022 as providers will try to address the backlog of scans that were postponed in the midst of the Covid-19 pandemic, when many providers across the world stopped carrying out elective procedures. Such workflow tools will be critical to ensure that radiology departments can operate efficiently. These tools will also benefit vendors, with the new solutions helping convince providers to replace or upgrade existing systems.

AI will benefit the technician as well as the radiologist

AI’s use in medical imaging has, until now, predominantly focused on how the technology can help with the reading and interpretation of medical images. This year that will change, with tools increasingly being used to aid in the capture of medical images. In a climate where high staff turnover is a challenge that healthcare providers are facing, increased support at the point of image acquisition is paramount.

In some scenarios, particularly in ultrasound, this will see AI being used to guide users in the acquisition of diagnostic quality images. There have already been some steps in this direction, with the likes of Caption Health’s Caption Guidance software being offered to help novice users correctly perform cardiac ultrasound scans. This ties into the earlier prediction of enabling imaging to be more widely used outside of imaging departments, where technicians are often less experienced and more likely to benefit from guidance. In addition to helping technicians perform the scans, these tools can also be used to automatically take some quantitative measurements from patients, such as calculating the bladder volume and the ejection fraction.

In other modalities the focus will be on reducing the time it takes to capture images and improving the efficiency of radiology departments. MRI and CT scans in particular are time consuming. AI-enhanced workflow optimisations tools, such as intelligent protocolling, can help to mitigate this issue and significantly reduce the time it takes for images to be captured by analysing an initial set of images and then suggesting the most appropriate next sequences based on the initial findings. Additionally, deep‐learning models for image reconstruction in MRI are delivering high-quality images with shorter scan times, overcoming the historical trade-offs in MR between scan time and image quality.

In general radiography, AI can identify potential technical problems during imaging capture to ensure the images are suitable for interpretation and potentially avoid patient recalls when they are not. For example, CXR from annalise.ai can identify technical image factors (exposure, patient rotation etc.) and devices (lines, implants, stents etc.).  Similarly, Fujifilm offers foreign body detection tools on its diagnostic X-ray products.


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This Insight is part of your subscription to Signify Premium Insights – Medical Imaging. This content is only available to individuals with an active account for this paid-for service and is the copyright of Signify Research. Content cannot be shared or distributed to non-subscribers or other third parties without express written consent from Signify ResearchTo view other recent Premium Insights that are part of the service please click here

Signify Premium Insight: Signify Premium Insights’ 2021 Predictions – The Results

This Insight is part of your subscription to Signify Premium Insights – Medical ImagingThis content is only available to individuals with an active account for this paid-for service and is the copyright of Signify Research. Content cannot be shared or distributed to non-subscribers or other third parties without express written consent from Signify ResearchTo view other recent Premium Insights that are part of the service please click here.

At the very start of this year, Signify Research’s analysts assembled to pick the key threads out of the turbulence of 2020 and use them to discern the forces that would shape medical imaging in 2021. Here we revisit the predictions made about the Imaging IT, AI and Modality markets, and assess how clear the crystal ball really was.

Imaging IT and AI Markets

There will be limited releases of advanced clinical and diagnostic tools in 2021

Score: 8/10

This prediction was, with a few exceptions, very accurate. Throughout the year there were only very limited releases of imaging IT solutions that were truly new. Instead, 2021 was for most vendors a year of introspection and refinement. Several hugely impactful technological shifts are on the near horizon, with meaningful AI, cloud adoption and true enterprise-wide imaging IT, but Imaging IT vendors must first prepare their systems for such tectonic changes. While these longer-term goals were being developed in the background, the releases that saw the light of day in 2021 were those focused around workflow and operational efficiency.

There were a handful of high-profile releases, with GE Healthcare’s TruePacs, IBM Watson Health’s AI and Workflow Orchestrator platforms, Change Healthcare’s Stratus Imaging and Nuance’s Precision Imaging Network the standouts. However, in keeping with vendor’s priorities of preparing for the future, several vendors instead shared strategic plans for significant platform releases, and laid out their roadmaps towards these longer-term goals. As such most releases added additional functionality to existing systems or represented vendors catching up with their peers.

Overall, 2021 was, in essence, predominately a year of stage setting, ahead of the real show in the coming years

RSNA 2021 will herald the recovery of clinical and diagnostic innovation

Score: 6/10

This prediction painted an optimistic picture in which Covid-19’s role at the centre of medical imaging and healthcare in general would fade throughout the year. Vendors and providers alike would therefore be able to increasingly devote their resources to technological innovation, vendors would arrive at RSNA 2021 bristling with innovative leaps and providers, who had been holding off making purchases until they saw these new products, would arrive in Chicago ready to buy.

The reality was somewhat different. RSNA 2021 was smaller than previous years’ meetings with both fewer attendees and fewer exhibitors. There were some innovative new solutions on display, but, as predicted many of these had already been given soft launches earlier in the year, with the likes of Sirona Medical, Paxera Health and Change Healthcare all demonstrating products that had broken away from the traditional show-based release cycle.

At RSNA 2021, surprises, one of the clearest indicators of innovation, were few and far between. However, the foundations of innovative new products were being built, with quiet conversations taking place amongst vendors, heralding the formation of partnerships, between vendors and providers as AI developers and others look to forge ahead with pilot and clinical validation studies. The buds of innovation were quietly growing, even if the blossom was not yet on display.

Structured reporting will gain further traction in 2021

Score: 10/10

This is exactly what happened throughout 2021. While structured reporting isn’t yet universal or essential, the number of developments made in this direction are hard to ignore. From Agfa Healthcare’s release of its Precision Reporting tool, Smart Reporting’s marquee agreements with GE and Siemens to Blackford Analysis’ integration into the 3M Modal Fluency Direct reporting tool. This latter example is particularly significant as the integration of AI into a reporting solution not only exemplifies the strides structured reporting has made this year, but also places the two highly complimentary technologies together, allowing each to bolster the other and therefore help drive the adoption of both.

Structured reporting will only become more important. As AI becomes ever more significant, diagnostic data will become key, and this is what structured reporting unlocks.

This progress doesn’t mean there is no more work to be done, structured reporting isn’t yet the competitive differentiator it is set to become, and it isn’t yet a mainstay of dedicated premium offerings, as it will be. Perfecting structured reporting is difficult, doubly so when considering its clinical integration and deployment, but the corner feels like it has been turned and momentum is building. This is true both of the releases that have been made over the year, as well as the subtler anecdotal examples, with many vendors who have not yet made announcements working hard away from the limelight to bring the technology to bear.

As predicted, for many 2021 will have been the year that saw structured reporting move from longer-term strategy to current objective.

There will be consolidation in the AI market

Score: 2/10

This prediction fundamentally rested on the assumption that the medical imaging AI market, which at present is worth only several hundred million dollars, was too small to support the hundreds of developers trying to capitalise on the space. This assumption was true in and of itself but underestimated the continued appetite among VC investors to artificially support the market until revenues increased. This was particularly true in some parts of the world, with investors in several countries including China and South Korea keen to continue investing in their country’s young AI outfits.

Many vendors did recognise that success would be difficult to achieve alone, and that they would struggle against more established and better funded competitors, but instead of becoming acquisition targets, some of these vendors forged partnerships with other AI vendors, or indeed became targets for partnerships, allowing multiple vendors to combine their capabilities in a bid to create a more attractive package for providers.

It could be inferred that some vendors did have to make difficult financial decisions. One of the only major examples of consolidation saw Zebra Medical Vision bought by the challenger modality vendor Nanox. As highlighted at the time, Zebra had not secured any VC funding in several years and an acquisition from Nanox, a vendor rich in cash after its 2020 IPO, could have represented something of a lifeline for the Israeli developer. Aside from this, however, M&A activity was limited.

This consolidation is expected in the future, but amid the continuing Covid-19 volatility, healthcare represents a relatively safe haven for investment. Whilst ever this investment is forthcoming, the majority of this consolidation can be staved off.

The Imaging IT market appears relatively robust in the face of Covid-19

Score: 8/10

The difficulties faced by many medical imaging IT vendors throughout 2020’s covid related disruption meant that when this prediction was made the future was very uncertain. The cancellation of countless lucrative elective procedures as well as the swift reprioritisation of budgets at providers meant that for a spell, the outlook for 2021 looked bleak.

As highlighted in the original prediction, Imaging IT’s recurring service-based revenues and the additional Covid funding was expected to be enough to support the market throughout 2021.

However, while all these elements rang true, the prediction was too conservative, and, as illustrated in the chart below, the overall market is forecast to perform more strongly than originally anticipated; largely bolstered by the recovery of mature imaging IT markets. Upsell of home reporting, universal viewing, workflow tools and professional services further also buoyed the market.

The above compares annual growth for the global imaging IT market (inclusive of radiology IT, cardiology IT and advanced visualisation IT). Data points are from: Signify’s original 2020-2024 forecast (pre-covid); the COVID scenario analysis conducted in January 2021 which provided interim guidance on perceived best case / worst case scenarios for the imaging IT market; from the latest Imaging IT Core Report, published August 2021, we’ve included the 2020 actual market numbers and 2021-2024 forecast.


Modality Markets

Expanded access to medical imaging

Score: 9/10

This prediction proved to be one of the major trends in medical imaging modalities throughout the year, with many different vendors across different modalities being represented. In ultrasound, and particularly handheld ultrasound where this path has been trod for the last few years there was a major new product release from GE, as well as progress from a growing cohort of challenger vendors. Butterfly Network, which leads this pack, completed its IPO deal earlier in the year, while a number of other handheld players, including, Clarius, Vave, Exo, EchoNous, Pulsenmore, and more were all represented.

This trend was far broader than handheld ultrasound, however. MRI and CT saw progress from the likes of Siemens Healthineers and Philips which both launched MRI systems that enable the modality to be adopted in new clinical settings, through developments such as lower cost, lighter systems, easier to install, and the lack of requirement for helium refills. There were several new mobile X-ray systems launched or teased, including those from GE and Konica Minolta, reinforcing the growth opportunity of this product segment not only in developed countries, but to provide access to imaging in emerging countries. In addition, younger, challenger vendors such as Hyperfine, Turner Imaging and Nanox, also made headlines, although their progress in the market is harder to ascertain.

More broadly, outpatient sites are also playing a larger role in medical imaging, this transition is further expanding access to medical imaging, with many patients now able to access many scan types closer to their homes and places of business than in the past.

AI-enabled imaging acquisition

Score: 9/10

This is another prediction that resolutely came to fruition in 2021. The clearest illustration of this trend was at RSNA, which saw AI image acquisition and quality control solutions form a key part of many of the hardware launches and demonstrations at the conference. These were on both the workflow side with AI-powered automatic positioning and auto-protocolling systems that help improve the efficiency of imaging departments and minimise the need for rescans. There was also a prevalence of AI-enabled image acquisition and enhancement offerings, with AI tools significantly reducing the time it takes to conduct scans, effectively making these modalities more efficient and less resource intensive to use, and therefore enabling them to increasingly be used in non-traditional settings, as per the above prediction. Ultimately, these tools have quickly gone from being an innovative new feature to an essential tool, with any vendor neglecting them looking increasingly outgunned. Within the X-ray market, AI enabled camera-based workflows are also driving this initiative.

There were also other illustrations of this prediction. In the summer Butterfly Network and Caption Health partnered to enable the latter’s AI-guidance tool to be used on the former’s handheld ultrasound devices.

The original prediction did suggest that AI developers offering acquisition and enhancement solutions could be acquisition targets for large modality vendors. While this hasn’t come to pass, all other aspects of the prediction did.

Extracting value will be key

Score: 6/10

The importance of value was clear in 2021. In acknowledgment of the tighter financial circumstances that many providers found themselves in as a result of Covid 19, vendors were keen to promote their more affordable performance systems and help solve providers everyday challenges. In addition to promoting these systems, vendors also worked to expand the feature sets of these lower-tiered systems, while also in some cases moving to smart contracts which enable older systems to be regularly updated with the latest features, keeping them current and allowing providers to gain maximum utility of the systems. Within the MRI market, GE Healthcare’s ARTIS EVO enables bore size to be upgraded without the need for reinstallation, increasing longevity of the system.

This also went hand in hand with the increased focus on workflow efficiency throughout the year, as providers were often forced to attend to more patients with fewer resources.

This shift hasn’t been as dramatic as expected, however. Covid relief funding has continued to support providers’ purchasing of higher-end systems. In fact, for some modalities such as ultrasound, it has actually been the higher-end products driving growth in some regions. This has also enabled providers to continue to purchase from vendors they have had long-time relationships with, and therefore not given the opening to cheaper Asian vendors as originally expected.

Value was and will always be important to providers, but their spending has been more robust than originally predicted.

Shared service systems will increase in uptake

Score: 8/10

This prediction was mostly accurate. While there were no single key moments highlighting the development of this trend, a number of releases throughout the year indicated its steady growth.

In ultrasound, where the trend has perhaps been building the longest, several new products were released, including Samsung’s new V8 ultrasound and Esaote’s new MyLab X75 ultrasound, which can both be used as shared service systems. Shared service was also developing in other modalities. Siemens Healthineers announced its first install of its Luminos Lotus Max Fluoroscopy/Radiography system, while Fujifilm’s newly revealed mobile C-arm also offers DR functionality.

The growing prevalence of these shared service systems is, in many cases hindering the uptake of dedicated systems, even if on paper they can claim some advantages. As vendors and providers are increasingly entering into broader purchasing arrangements, and purchasing decisions are being made higher up within a provider, these shared service machines can represent better value, and therefore look to be an increasingly attractive option.

AR will gain traction in surgical rooms

Score: 2/10

While augmented reality remains an interesting technology which harbours significant potential for surgical rooms, for the most part, it hasn’t moved on since this prediction was made a year ago. This is understandable. As hospitals have reopened after the worst of the coronavirus restrictions in 2020 and early 2021, they have had to deal with an unprecedented backlog of postponed elective procedures. This influx of patients has absorbed the attention of providers and left little resource or desire to experiment with incorporating advanced technologies which may not bring tangible benefits immediately.

Although progress has been minimal over 2021, there have been some developments that do suggest interest in the technology will continue to grow over time. Most recently, Philips expanded its ClarifEye augmented reality surgical navigation solution to two new international sites, in Oman and Spain, with successful clinical outcomes.

AR will come to surgical rooms, but that tipping point didn’t come in 2021.

About Signify Premium Insights

This Insight is part of your subscription to Signify Premium Insights – Medical Imaging. This content is only available to individuals with an active account for this paid-for service and is the copyright of Signify Research. Content cannot be shared or distributed to non-subscribers or other third parties without express written consent from Signify ResearchTo view other recent Premium Insights that are part of the service please click here