Tag Archives: Mobile

Signify Premium Insight: Xoran Eyes Tough Sell with Fluoroscopy Solution

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US-based imaging modality manufacturer Xoran has recently received FDA 510(k) clearance for its Tron open-bore mobile fluoroscopy CT system.

According to its maker, the system can complete scans in less than one minute, and is small enough to be easily manoeuvred around hospitals, as well as being able to fit in small vans, making it suitable for community health initiatives. The challenge for Xoran, however, is whether it will be able to gain significant traction given that fluoroscopy is for some clinical exams at least, falling out of favour.

The Signify View

For a relatively small company Xoran has made a surprising choice in targeting the fluoroscopy market. While it represents a sizable market, at over $500m in 2021, it is also a market that is undergoing fundamental change. Growth in the market, at 18%, was very strong as the market recovered from the previous-year’s Covid-induced lulls. Over the coming years the growth prospects look less robust, with the world fluoroscopy market forecast to grow at less than 4% CAGR between 2021 and 2026, as detailed in our General Radiography and Fluoroscopy X-ray Equipment – World 2022 report.

There are a number of reasons for this shallow growth trajectory. A growing number of procedures which would have traditionally been conducted on fluoroscopy systems are increasingly being performed on CT, MRI or endoscopy systems. The declining price points of these modalities, combined with clearer images, and declining dose levels for CT makes fluoroscopy a less attractive choice for many procedures.

Providers are also being more stringent in their requirements. Where a hospital may previously have had a dedicated fluoroscopy system, the need for providers to economise and maximise the use of their medical imaging hardware means that they are increasingly turning toward multiple purpose rooms. Such systems mean that providers aren’t forced to dedicate an entire room for fluoroscopy, which may be relatively underutilised, when instead they can use a multipurpose general radiography and fluoroscopy room, utilising a modality that is used significantly more frequently while still offering fluoroscopy exams as and when they are required.

Mobile Matters

Despite this disruption, Xoran’s Tron embraces some of these trends which could give it an advantage compared to other systems. The fact that it is mobile could be beneficial. In several modalities, including general radiography, mobile solutions are becoming utilised more frequently as they allow imaging exams to be conducted outside of the imaging departments that traditionally housed them, granting providers increased flexibility and enabling imaging examinations to be conducted in surgical rooms, emergency departments and critical care wards, for example. This could be particularly valuable for patients who are too sick to travel to a fluoroscopy room.

Xoran’s Tron also bucks trends in another way, utilising CT, rather than standard X-ray to capture the image. This improves the versatility of the system and enables it to be used as a CT system, providing advanced imaging in a range of settings.

Further, the flexibility offered by a mobile system gives providers the opportunity to better manage space within a hospital. Instead of a fixed system taking up valuable floorspace, a mobile system can be taken to where it is needed, when it is needed and moved away when it is not. This could be particularly beneficial at smaller sites and facilities which desire fluoroscopy capability, but do not have the space or budget for a traditional fluoroscopy room.

Capability Convergence

The release of a mobile fluoroscopy CT system also continues a broader trend in which the gap between digital radiography and CT systems is narrowing as the capability and sophistication of DR systems increase, and the expense and infrastructure requirements comes down, while other innovations such as computed tomosynthesis, also bridge the gap between the modalities. Such was the case for Nanox, which, in its initial promotional material, was unclear as to the exact nature of its Arc scanner. Xoran’s system continues this trend, representing a more affordable alternative to traditional CT fluoroscopy systems, while still offering much of the core capability.

Despite adhering to this growing trend, the company is still going to face many of the same difficulties facing other challenger vendors. Namely, the product offered while interesting, with some unique capabilities, and catering to some niche cases, will in many cases likely struggle to find buyers.

In developed markets, most providers are tightly linked to other, more established vendors. Such relationships make it seem unlikely that a provider, even if establishing a new community care health initiative, would take a risk on a relatively unproven company, when it could simply purchase a system from one of its established suppliers. This is particularly true given that Xoran’s Tron will most frequently be utilised for its CT rather than fluoroscopy capability, a modality that is already well catered for by larger vendors. Many of which also offer portable systems, that will, unlike Xoran’s Tron, also be able to benefit from some vendor-specific software systems. The vendor may find solace in dedicated screening programmes, for instance in lung CT, and has received grants from the US’s National Institute of Health to develop lung imaging capability, but again, other vendors would also be looking to capitalise on this market and are unlikely to give Xoran a free run.

Another Strategy Emerges?

These challenges in developed markets may lead Xoran to consider targeting emerging markets. This could prove to be a preferable strategy, with the Tron potentially representing a cost-effective opportunity for providers to acquire CT and fluoroscopy capability, in a package with minimal infrastructure requirements. However, the vendor would still face many of the hurdles that other vendors, both established and young disruptive vendors face in entering these markets, such as a lack of qualified staff and a shortage of sales and service networks.

Xoran may do better by demonstrating the efficacy of its tools, in clinical studies and use cases. While providers may be reluctant to commit to hardware from a relatively obscure vendor, providing clinical evidence of the touted advantages of the system could help attract providers’ interest.

Ultimately, however, for Xoran, as is the case for other smaller vendors with novel or niche solutions, such as Adaptix, Turner and Promaxo among others, the pace at which the medical imaging market moves must be considered. Adoption of new technologies is, by and large, slow. This could be particularly true for a vendor promoting an increasingly marginalised modality. This measured pace means that Xoran would do well to build its presence slowly. Its Tron system does have some advantages, but they are unlikely to be a purchasing priority for most providers. While it has enjoyed reasonable success with its focus on point of care imaging and claims to have installed over 1,000 CT systems since it was founded in 2001, the new Tron system is unlikely to be a major revenue driver for the company and its future success will likely come from other planned products. For example, if it is recognised in clinical guidelines as a reliable producer of screening equipment. However, to pin hopes on such a change would be overly optimistic.

Instead, the vendor should focus on the advantages it has, work to demonstrate them through clinical research, and look for ways to maximise them competitively, with AI partnerships, for example, offering one way for the vendor to add value to customers. It will be a slow road, but focused, deliberate action can make it navigable.

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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: Viz.ai, Hyperfine and Maximising Mobile MRI

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.

Last month a partnership was formed between stroke AI specialist, Viz.ai, and point-of-care MRI start-up, Hyperfine. The move aims to give clinicians access to MRI capability at a patient’s bedside, arming them with more diagnostic information for assessing and managing stroke care. This, the vendors hope, will ultimately allow patients suffering from a suspected stroke, a highly time-sensitive condition, to be treated more quickly.

The partnership will see Viz.ai’s care coordination platform utilised alongside Hyperfine’s Swoop portable MRI system, serving as a new commercial opportunity.

The Signify View

Viz.ai has been among the most successful medical imaging AI vendors over recent years. It was, for instance, among the earliest vendors to secure reimbursement for the use of its solution via the New Technology Add-on Payment (NTAP), it has been highly successful in funding rounds, laying claim to more than $250m, and has enjoyed a healthy succession of regulatory approvals. In meeting these milestones, Viz.ai has now found itself facing an ongoing difficulty; how best to get its solution into hospitals.

To this end, the vendor has adopted several initiatives. As well as making direct sales to providers, it has also looked to enhance its offering by partnering with other vendors. It has, for example, sealed a deal with Avicenna.ai in order to bring better care coordination for patients suffering from pulmonary embolism and aortic disease. Elsewhere, Viz.ai has also partnered with Medtronic in a bid to accelerate the adoption of its solution across Europe.

The AI vendor’s partnership with Hyperfine continues this direction, representing another route to market for Viz.ai, and offering another route by which its care coordination platform can get in the hands of users.

This route will not be, for the time being at least, widely used. Hyperfine is, after all, a young vendor with a very small installed base. It does however offer significant clinical potential, allowing MRI imaging to be conducted bedside, and therefore enabling patients in emergency rooms and intensive care units to quickly be assessed for stroke without needing to be moved.

Further, embedding Viz.ai’s solution on Hyperfine’s hardware also ties into the AI vendor’s broader ambition of effectively ‘solving’ stroke care, and addressing and expediting every facet of diagnosing the illness. Viz already offers a solution that can support clinicians along almost every stage of the stroke care pathway. By embedding the solution on a device that will be used in emergency rooms, Viz is continuing to expound one of its core selling points. Even if it is rarely used, having the option to use Viz.ai’s solution in the emergency room further facilitates this end-to-end vision.

Solving Stroke Care

The agreement also makes sense for Hyperfine. The young vendor has previously highlighted stroke care as one of the core use cases for its Swoop portable MRI system. Noting that, as with Viz.ai’s care coordination platform, its use should enable patients to receive treatment sooner, with symptomatic patients able to be imaged right away in emergency rooms or even in ambulances ensuring that they are placed on the correct care pathway and provided the right treatment as quickly as possible.

As such, Hyperfine had already been developing its own neurology imaging AI solution. BrainInsight, Hyperfine’s neurological AI solution, is centred around measurement and quantification, allowing biomarkers signifying neurological damage to be assessed, for example, midline shift following a suspected stroke. BrainInsight will complement Viz.ai’s capabilities and care coordination platform. Adding Viz’s solution to Hyperfine’s Swoop will make the system a more versatile offering, and a more valuable tool for doctors in fast-paced settings such as emergency medicine.

Partnering with Viz.ai also offers other benefits. Several other vendors have targeted the edge deployment route, including Exo and Butterfly Networks (point of care ultrasound), and established brands such as Fujifilm (portable X-ray), who offering image-analysis AI capabilities from Medo.ai, Ultromics and Annalise respectively. While Hyperfine does offer a native AI solution, this partnership will quickly add greater functionality to its scanner.

In addition, it also enables Hyperfine, which is primarily focused on hardware, to quickly scale up the availability and deployment of AI solutions for its modality. This is an important consideration given that in many cases, young challenger vendors offering mobile imaging solutions often sacrifice some image quality in the name of mobility. Such a compromise can, however, be mitigated with the use of AI, enabling these devices to be used for tasks that may otherwise have been beyond the hardware’s limits.

Partnership Planning

At present, partnerships are an effective way for both hardware and software companies to benefit from such collaborations. While in some cases, acquisitions, such as Exo’s acquisition of Medo.ai make sense, allowing the hardware vendor granular control over the AI vendor and enabling it to be specifically tailored, often partnership presents a better route.

This is true in the case of Hyperfine and Viz.ai, with Hyperfine a long way from being able to afford large acquisitions. Even without this financial hurdle, a partnership is likely preferable for both vendors, enabling them to easily enter into an agreement and capitalise on the other’s strengths without needing to commit for the long term if a better option becomes available. For Hyperfine it means it can offer Viz.ai’s solution, while Viz.ai can expand onto another potential growth platform for minimal cost.

Despite its recent valuation, Viz.ai is also unlikely to want to acquire Hyperfine. The fact it remains a nascent, yet innovative, technology, with a relatively modest installed base is reason enough to deter Viz.ai. More broadly, Viz.ai’s other recent partnerships also suggests Viz is not looking to acquire just yet.

Both vendors could also look to make more partnerships. Viz could look to secure more partnerships with other modality vendors, with a more established modality vendor with a sizable installed base a significant opportunity. Such a partnership may be difficult to come by, but it would give the vendor enhanced credibility and visibility among providers.

Hyperfine is also likely to look to embark on additional partnerships. While neurology is one of the vendor’s present priorities, the ability of AI solutions to improve the suitability of the Swoop for other clinical use cases and mitigate some of the limitations of the hardware for certain applications could bring opportunity, in prostate imaging, for example. By partnering with multiple AI vendors, Hyperfine can improve the value proposition of its Swoop, ensuring it is a more versatile system which can be utilised for many use cases by providers. Further, this ensures it can remain focused on developing and fine-tuning its hardware, rather than splitting its focus to develop AI solutions as well.

Such benefits will, however, take time to be realised. The partnership between the two vendors will not be transformative, particularly for Viz, with use on Hyperfine’s portable MRI systems offering limited potential, at least in the near term. It does however make sense, given the low cost of the partnership. The move, as with other hardware/AI partnerships before it, show the synergies that can be found and AI’s ability to maximise hardware’s capability. It may not ultimately lead to a dramatic increase in sales for either company, but other similar future partnerships might.

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