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Next-generation Extended Reality tech is raising the standard for industrial 3D visualization. Complex equipment becomes much easier to show customers and walk them through, without hauling a physical unit to every meeting. For industrial machinery manufacturers, that’s real business value: by reducing their dependency on physical equipment, companies can improve sales demonstrations and make customer education more visual, scalable, and effective. The value is clear at trade fairs. Industrial machinery manufacturers can usually show only one machine in one configuration. On top of that, the most important parts are often hidden inside, and the product is displayed without the environment it was designed for. So the exhibitor arrives at the show unable to demonstrate the product they’re selling. This is where a new generation of Virtual Showrooms comes in. We’ll look at how it solves that problem below. The problems manufacturers face at trade shows But first, let’s look at the main challenges manufacturers face when relying on traditional trade show methods. The product does not fit. What a manufacturer sells is often far too big for any booth. A single production line can fill half a plant, and one machine can weigh five tons. But the trade show offers thirty square meters of rented floor at a high price. Exhibit space is the single largest line in the entire exhibiting budget: for U.S. B2B shows it accounts for 40.5% of an exhibitor’s total spend, more than any other category. At Hannover Messe (Germany), a modest 18 to 36 square meter stand costs €18,000 to €45,000, and a large one, 72 to 200 square meters, can pass €250,000. The equipment was never built to be lifted onto a stand, so a company pays the highest price in its budget for the one thing that still cannot hold the product it came to sell. Shipping machinery is expensive. The heavier the machinery, the higher the sales costs. Transportation, on-site assembling, and travel expenses can run into six figures per event. On average, construction, logistics and assembly add up to around €100,000 to get a single product onto the floor, and the largest, most impressive machines, the ones a company most wants buyers to see, are precisely the ones that push that figure highest. Buyers see a sample, not the range. Manufacturers have to choose which models to bring, and buyers never see the full portfolio. They are also limited by demo capabilities: system flow, scale, and engineering remain hidden. The value is hidden under the housing. Much of what a manufacturer charges for happens inside the machine, out of sight. Visitors stand in front of a closed housing and see only the outside of a product whose real engineering is sealed away. There is no context. Buyers need to understand how it fits into their own production line, works with existing equipment, and supports their process. That context cannot be brought to the booth, so much of the product’s value has to be imagined. The product may not exist yet. Sometimes the product a company needs to sell is still on the roadmap, or only half-built in a workshop. Industrial sales cycles are long, and buyers often need to commit before a machine physically exists. You are competing for the same buyer as everyone else. A trade show gathers the entire industry into one hall, which means every rival is only a few steps away. At IMTS 2024, visitors had to work through 1,737 exhibitors spread across more than 1.2 million square feet. Hannover Messe 2025 was larger, with 3,694 exhibitors from 62 countries and more than 123,000 visitors. In a room like that, you have to stand out to get noticed. How 3D solves each problem So, how can 3D visualization help? Problem: The product is too large to ship, or it does not exist yet. With XR, prospects can walk around a full-scale model of a product, explore different options for an engineered-to-order build, and see exactly what they are buying months before the first unit is produced. This can shorten the sales cycle. The format changes, but the product remains in front of the customer. Problem: Shipping and floor space eat the largest share of the budget. Extended Reality replaces the heaviest line items in the industrial sales budget with a single portable asset. Each of the costs for equipment transport, exhibition stand rental, assembly crew, technical team travel recurs with every event. Over a year, they compound into one of the largest budget lines in industrial sales. A 3D model is created once and can be presented on a screen, in AR, or in VR using equipment that occupies only a small part of the stand. It can be updated when the product line changes and redeployed without additional logistics. Problem: A physical demo can show only one configuration. Let each visitor build their own version. For configurable machines built to order, each customer can preview their exact configuration in detail rather than a generic prototype. A configurator on a touchscreen, or the same system in AR or VR, lets them choose components and options, see the result update instantly, and leave with a build that matches their plant. One asset covers all two hundred configurations in the catalog. Problem: The most important parts of the product are hidden inside. Exploded views, cutaways and animations show what happens beneath the surface. On a screen, a visitor grasps how the system works within seconds; in AR or VR, they can pull it apart and study the internals in detail.  Problem: Buyers can’t easily picture how the product fits their own plant. VR can put a buyer inside a virtual production line. AR can drop the equipment at full scale into the room right in front of them, so they can walk around it. This way, they can see how it fits their facility instead of guessing. Problem: You have a few minutes to catch attention, and competitors are right next to you. Big screens with motion are…

Today’s imaging systems are more powerful than ever. A single CT scan generates hundreds of cross-sections. An MRI cardiac study captures the heart in four dimensions. A full-body PET produces a dense volumetric map of metabolic activity across every organ system. And yet, in most hospitals today, clinicians consume all of that data the same way they did in the 1990s: as 2D slices, scrolled one frame at a time, with the third dimension reconstructed entirely in the radiologist’s head. That gap between the data that exists and the data that gets used is what 3D medical visualization is closing. Progress hasn’t been uniform. The specialties with the highest spatial stakes have moved fastest. In oncology, where tumour margins and vascular relationships determine whether a resection is safe, 3D visualization is now routine. In cardiology, where structural defects live in three dimensions that 2D echo can only approximate, volumetric review has become standard practice for complex case planning. For these teams, rotating a segmented model or flying through a volume-rendered vessel is part of the reading workflow. Within healthcare, oncology drives roughly 34% of total 3D imaging spend: 52% of cancer centers already use 3D imaging as part of their standard workflow, and 44% of cardiology departments do the same. For much of medicine, the shift is still underway. But the direction is clear. The market reflects it. The global 3D medical imaging market was valued at $21.43B in 2025 and $23.39B in 2026 and is projected to reach $42.75B by 2032  at a compound annual growth rate of 10.36%. Healthcare has become the largest adopter of 3D imaging technology overall. In this article, we break down what 3D medical visualization actually means technically and where it creates measurable clinical value. The imaging data problem Begin with the scanners, because they don’t produce data the same way: CT measures X-ray absorption, so dense tissue like bone reads strongly while soft tissue stays faint: the default for trauma, lung, and skeletal work. MRI reads tissue magnetic properties instead of density, trading speed and bone detail for soft-tissue contrast nothing else matches. PET maps metabolic activity rather than structure, and almost always travels fused to a CT or MRI so the active regions have anatomy to sit against. Ultrasound produces a live volume but depends heavily on probe angle and operator skill. Cone-beam CT gives a tight, high-resolution field at the cost of coverage, which is why it dominates dental and interventional suites. All of these imaging methods capture a 3D volume of the body. Yet in most cases, doctors still review that data as a series of 2D slices. At first glance, this seems surprising: why collect rich 3D data only to view it in 2D? Part of the answer is habit and established workflows, but there are also practical reasons why 2D slices remain the standard in medical imaging. Raw data, nothing interpreted. A slice shows the scan as acquired. Every 3D rendering is the product of decisions which densities to display, which to hide, where to set the threshold and any of those can suppress a real finding or manufacture one that isn’t there. Full coverage of the dataset. Scrolling slices walks the eye across every voxel in the study. A 3D view by definition hides whatever sits behind the surface it shows, and for catching a small lesion or a faint ground-glass opacity, seeing everything matters. 3D earns its place once the task moves past detection: Spatial relationships. 3D visualization makes it easier to understand how anatomical structures relate to one another. Instead of mentally reconstructing anatomy from dozens of 2D slices, clinicians can view organs, vessels, and abnormalities as a single 3D model. Change over time. Tracking changes across multiple scans becomes much easier in 3D. By measuring the volume of a structure over time, clinicians can quickly identify trends that may be difficult to spot in individual slices. Communication. A 3D model is something a patient, a referring physician, or a multidisciplinary team can read at a glance, where a slice stack means little to anyone outside radiology. So, 3D visualization is most valuable when understanding spatial relationships is difficult or time-consuming in 2D. What complicates this in practice is the format the data arrives in. Most medical imaging is still stored as DICOM, a standard built around 2D-image workflows. DICOM is the backbone of medical imaging, but several of its legacy choices make 3D visualization and analysis harder to build on top of it. Gathering everything a full analysis needs is one problem: a careful read of a pathology usually draws on prior scans and the patient’s imaging history, and that data sits scattered across separate studies and series rather than in one place. Interoperability is another. DICOM has to exchange data with the hospital’s other systems, such as PACS, RIS, and the electronic health record, and every connection point adds friction. The input itself is uneven too: scans vary in quality and completeness depending on how and where they were acquired, so a tool built for real cases has to hold up across that range. We’ve written separately about why DICOM is stuck in the ’90s. What “3D medical visualization” actually means There are five techniques in common use. Most clinical software uses two or three of them together. Segmentation comes first, because the others depend on it. Segmentation. Something has to label what is in the scan before the rest can work. It needs to know which voxels are liver, which are tumour, which are vessel wall. This used to be manual work. A radiologist drew outlines on each slice, which for a complex case could take close to an hour. Two radiologists rarely produced identical outlines. AI tools changed this. TotalSegmentator and similar models label most organs in a CT scan in under a minute. The clinician checks and corrects the result instead of drawing it. This is what makes the other four techniques practical for routine use. Multiplanar reformatting (MPR)….

Immersive storytelling has moved from experimental format to a working tool used by humanitarian agencies, museums, newsrooms, and brands. The UN commissions 360° productions to communicate field realities. Agog is funding up to $1 million in 2026 grants for immersive climate work. Museums build location-based AR around their collections. Brands replace banner-grade content with VR experiences their audiences actually remember. What unites these use cases is a shift in what audiences expect from a story. Watching is no longer enough. People want to step into the scene, choose where to look, and feel that their presence shapes what happens next. The market reflects this shift. Fortune Business Insights projects the immersive marketing segment alone to grow from $11.66 billion in 2026 to $89.45 billion by 2034, at a CAGR of around 29%. In this article, we look at what immersive storytelling actually means in 2026, the formats producing the strongest results today, why presence works the way it does on a cognitive level, and where the medium is creating the most measurable impact across sectors. What is immersive storytelling? Immersive storytelling is a narrative method built on VR, AR, MR, 360° video, spatial audio, and interactivity. What makes it a distinct medium is the sense of being inside a story rather than watching it from outside. This changes the relationship between content and viewer in three concrete ways. Linear video becomes a 360° scene. Traditional film frames the shot for the audience: the director decides what is in view and what is cut out. In a 360° production, that frame disappears. The viewer chooses where to look, and different details emerge depending on where their attention goes. The same scene can carry multiple parallel observations, and two people watching the same piece may come away with different impressions of what mattered. Text and photography become interactive environments. A written article describes a place; a photo captures a moment of it. Both keep the audience on the outside. Interactive VR and AR let the audience step into the environment, examine objects up close, and in many cases trigger responses through their own actions. Passive consumption becomes an embodied experience. Watching content engages mostly the eyes and ears. Immersive formats add spatial awareness, proprioception, and a sense of physical location. The brain registers the experience closer to how it registers being somewhere in the real world, which is why retention and emotional response measure differently in immersive media than in flat content. How far the experience goes in any of these directions depends on the creative approach. Why it works: The science of presence and empathy When immersive storytelling produces results, it does so through specific mechanisms. The effect it has on audiences has been documented in peer-reviewed research and confirmed by neuroscience. A peer-reviewed study on immersive storytelling and presence found that delivering a story via 360° video on a head-mounted display produces stronger self-location and copresence than the desktop or text version of the same piece. Self-location is the feeling of being physically inside the scene; copresence is the sense of being there with other people. Both have a direct effect on how audiences respond emotionally. Copresence boosts cognitive empathy—the ability to understand what someone else is going through. Self-location and copresence together drive affective empathy—the capacity to share in those feelings. The format is changing what the audience is neurologically equipped to feel. Neuroscience confirms the difference at the signal level. EEG studies comparing VR with television viewing have documented greater mu rhythm suppression during VR sessions—a neural signature long associated with empathic response and mirror neuron activity. The brain registers immersive content differently from flat content. It shows up on EEG equipment, independently of what the audience reports feeling. These findings explain why immersive storytelling is being adopted in fields where emotional connection and behavioral change actually matter: humanitarian communication, climate advocacy, public health, education. But the effect is not automatic. Presence on its own is just immersion. Real emotional and behavioral impact comes from the combination of presence, intentional narrative design, and ethical representation of the subject. Without the second and third, the first is a novelty. Core formats There are five core formats producing immersive storytelling today. They differ in how they are built, how they reach the audience, and what kind of story they can carry. The choice between them is usually the first practical decision in any project. 360° video is the lowest barrier to entry. It is filmed, not built, using specialized cameras that capture the full surrounding scene, which the viewer then explores by turning their head. Production logic is closer to documentary filmmaking than to game development, which makes it accessible to teams already working in video. It is the strongest fit for documentary, fundraising, brand stories, and any project where the goal is to transport the audience into a real place. It is also the most common entry point for organizations producing their first immersive piece. Interactive VR experiences are fully built in engines like Unity or Unreal. Unlike 360° video, the environment is constructed rather than filmed, which means the audience can move through it, interact with objects, and trigger branching narratives. VR development is closer to game development than to film, with longer timelines and higher budgets, but the payoff is depth: the audience can spend hours inside a well-built VR experience and keep finding new layers. This format is the strongest fit for education, simulation, and brand experiences where engagement time matters more than reach. AR experiences anchor digital content to physical locations or objects, delivered through smartphones or smart glasses. The audience stays in the real world and sees a layer of story added on top of it. This makes AR and MR development especially valuable when the physical context is part of the message: a museum exhibit that comes alive when viewed through a phone, a historical site that reconstructs itself on screen, a product that reveals its inner workings when scanned. AR works…

VR therapeutics is becoming a real category of reimbursable medicine. It now has FDA authorization pathways, dedicated billing codes, and growing support from commercial insurers. This shift didn’t happen overnight. It has built up over several years through a series of regulatory, clinical, and commercial milestones that together make 2026 a turning point for the industry. The market is starting to reflect that. Estimates vary by methodology, but SNS Insider projects the broader VR healthcare market to grow from $4.27B in 2024 to $46.4B by 2032 (a 33% CAGR). VR telerehabilitation alone is projected to grow from $1.2B in 2026 to $2.67B by 2030, a 22% CAGR that captures the segment this article focuses on. Three moments tell the story of how we got here. 2021: The first prescription VR therapy gets FDA cleared. AppliedVR’s RelieVRx became the first VR product authorized as a prescription medical device in the US. 2023: Medicare opens the reimbursement door. Centers for Medicare and Medicaid Services created the first VR-specific billing code, placing prescription VR into the Durable Medical Equipment category. The practical effect: doctors gained a way to prescribe VR therapy, and insurers gained a code to pay against. 2025: Commercial insurers begin following Medicare’s lead. In September, Cigna became one of the first major commercial payers to cover FDA-approved digital therapeutics. In this article, we’ll walk through six therapeutic domains where that infrastructure is taking shape. Each has its own clinical logic, its own leading players, and its own path to scale.  Market architecture Before we walk through the six therapeutic domains, it’s worth understanding the shape of the market they sit inside: what’s growing, where the money is concentrated, and what changed structurally between 2023 and 2025 to make any of this viable. Where therapy and rehab sits inside VR healthcare VR healthcare as a whole spans everything from surgical training simulators to anatomical education tools. But within that broader market, VR therapeutics and rehabilitation is the fastest-growing application segment, and it’s also where regulatory and reimbursement infrastructure is forming most actively. Inside therapy-and-rehab itself, two sub-segments are consistently identified by independent market research as the fastest-growing: pain management and mental health therapy. Both have something the other categories don’t yet: FDA-cleared products in the market, peer-reviewed efficacy data, and at least nascent reimbursement pathways. Geographically, the market is concentrated in two regions for very different reasons. North America is leading adoption mainly because the FDA has started approving prescription VR therapies, and dedicated billing codes now allow healthcare providers to get reimbursed for using them. Europe is catching up via different infrastructure, particularly Germany’s DiGA framework, which provides a parallel route to physician prescription and statutory health insurance coverage. France’s PECAN and the UK’s DTAC are developing in a similar direction. The pattern is clear: once regulators create a formal pathway, companies and investment tend to follow. What the hardware cycle unlocked The clinical use cases for VR therapy didn’t really change between 2020 and 2025. What changed is that the hardware finally became viable for the business models the clinical work demanded. Consumer-grade standalone headsets brought the price floor down to where at-home prescription models work. Meta Quest 3, Meta Quest 3S, and Pico 4 helped bring standalone VR headsets to more affordable consumer price levels—an important step for prescription VR therapies that patients are expected to use at home. RelieVRx, for example, is a self-administered program delivered to patients in their living rooms; that model is described in detail in MDIC’s case study of the product. Major headset manufacturers are doubling down on healthcare partnerships rather than building healthcare-specific hardware. A useful signal here is HTC VIVE’s April 2025 expansion with Mynd Immersive, Select Rehabilitation, and AT&T into more than 150 US senior living communities—the largest deployment of immersive therapeutics into senior care to date. The interesting strategic detail isn’t the size of the rollout but its structure: a hardware OEM (HTC), a content/care platform (Mynd), a clinical services partner (Select Rehab), and a connectivity provider (AT&T). That’s the four-party stack that scaled clinical VR is going to require, and partnerships like this one are essentially templates that the rest of the industry will be copying. Body: pain & physical rehab 1. Pain management Pain is the single largest unmet need in clinical medicine. In the United States alone, roughly 50 million adults live with chronic pain, and the toolkit physicians have to treat it is uncomfortably narrow: opioids carry addiction risk, non-opioid pharmaceuticals are inconsistently effective, and behavioral therapies are scarce and slow. Procedural pain is its own category, often managed with anesthesia or sedation, which adds cost, risk, and recovery time. This is the gap VR fills. The clinical evidence for VR as a pain intervention rests on two well-documented neurological mechanisms. The first is gate control theory: pain signals traveling up the spinal cord compete with other sensory inputs for processing capacity, and immersive visual and auditory stimulation can effectively crowd them out before they reach the brain as pain. The second is cognitive load: a fully immersive VR experience occupies enough of that capacity to leave less available for processing pain as pain. Together, these mechanisms make VR more than just a distraction. They turn it into a real neurological intervention, which helps explain why VR can reduce pain in clinical settings where simpler distractions like music or conversation often cannot. There are two distinct applications emerging from this. The first is procedural pain, where Medtronic provides the clearest commercial example. Medtronic’s VR solution makes office hysteroscopy more comfortable by immersing the patient in a virtual environment during the procedure. According to Medtronic, the immersive sedation-analgesia content reduces patient anxiety and decreases pain-related brain activity. The second application is chronic pain. RelieVRx, which we talked about above, is a shining example, receiving Breakthrough Device Designation and De Novo authorization specifically for chronic lower back pain. A regulatory pathway the AppliedVR team has documented in detail in the peer-reviewed literature. The clinical data behind…

The global extended reality market (including VR, AR and MR) is expected to reach $84.86 billion by 2029, growing at an estimated annual rate of 28%. But the bigger point isn’t just that the market is expanding, it’s that XR is already proving its value in the places marketers care about most: engagement, conversion, and customer confidence. In ecommerce, interacting with products via AR leads to a 94% higher conversion rate compared to products without AR. That makes sense: when people can better understand what they’re buying, they’re more likely to move forward and less likely to regret the purchase later.  XR also gives brands something that’s getting harder to win online: attention. VR campaigns generate about 46% higher engagement than traditional digital campaigns. People who interact with AR content spend around 2.7 times longer on product pages.  XR is now showing up in real results. That is why marketing is moving beyond static content toward immersive experiences. In the following sections, we will share how these technologies can be applied to marketing strategies and explore what the future of immersive experiences might look like. How XR is transforming modern marketing: 4 use cases that prove it works With XR, businesses can turn traditional campaigns into fully immersive experiences, where customers can explore products, interact with brands, and connect with content in memorable ways. Its value goes far beyond visual appeal, directly impacting the business growth and customer journey itself. And while this may not be immediately obvious, XR can also save significant resources, reducing the need for physical prototypes, showrooms, or large-scale events, making marketing more efficient. This is why more businesses are integrating immersive technologies into their marketing strategies, even despite certain challenges, such as development and VR hardware costs, as well as complex technology integration. Below, we highlight several successful use cases of immersive technologies in marketing. Virtual try-ons One of the most persistent barriers to online purchasing is uncertainty. Will these glasses suit my face shape? Will this sofa fit in my living room? Will this shade of lipstick actually complement my skin tone? These are questions that traditionally required a physical store visit. Virtual try-on eliminates that leap entirely. The technology behind this falls into a few distinct forms. The most accessible is smartphone-based AR. Customers point their phone at themselves or their surroundings, and the app overlays a true-to-scale digital product in real time. A striking example is the FindYourGlasses app developed by Qualium Systems. A step further are dedicated AR headsets and glasses, which immerse the customer in a mixed-reality environment where products can be explored in even greater depth and spatial accuracy.  These technologies help customers understand what they are buying before making a purchase, enabling them to make decisions based on accurate, personalized visualization rather than guesswork. Real-world example: IKEA Place AR App IKEA Place AR app lets shoppers visualize furniture in their own physical spaces before buying. Customers simply point their phone camera at a room, select a piece of furniture, and see it rendered in realistic scale within their actual environment. This removes the biggest friction point in furniture shopping: not knowing whether a sofa or shelf will actually fit or match the existing interior design. Results: After launch, the app was downloaded millions of times and became one of the most widely adopted retail AR experiences globally. IKEA reported increased customer engagement and reduced returns because customers could see how items fit before purchase. The company reported also that customers who use the IKEA Place app are 11% more likely to complete a purchase compared to those who do not use the app. Virtual showrooms & Tours Some purchases simply feel too significant to make without experiencing the space or context first. Traditionally, that meant showing up in person. Virtual showrooms and immersive tours remove that requirement. The technology here ranges from 360° web-based tours (viewable in any browser without additional hardware) to fully immersive VR experiences delivered through headsets. Visitors can walk through a branded space, interact with products, and access information on demand, without leaving their couch or office. Automotive brands use virtual showrooms to let buyers explore vehicle interiors, switch trims and colors, and get a feel for the cabin before visiting a dealership. Real estate platforms offer immersive property walkthroughs that let buyers shortlist homes remotely. Hotels and resorts use virtual tours to sell the experience upfront.  The value is especially pronounced in the machinery and heavy equipment sector, where physically demonstrating a product has always been costly: shipping industrial equipment to trade shows, organizing on-site demos, and flying prospects to manufacturing facilities all consume significant budgets. VR removes that overhead entirely: a potential buyer can step inside a virtual factory floor, operate a machine in a simulated environment, and evaluate complex equipment in full detail. Real-world example: Virtual showroom for MAKEEN Energy industrial equipment MAKEEN Energy, a global corporation delivering industrial gas solutions and heavy infrastructure equipment, built a true-to-scale virtual showroom. Using 3D models of their equipment in a virtual environment, they were able to pack their sprawling machinery into a portable VR headset and bring it to any trade fair.  Results: By no longer shipping heavy equipment around the world and reducing travel with virtual product demonstrations, MAKEEN Energy was able to cut logistics costs significantly. The virtual showroom also accelerated complex, multi-stakeholder sales by giving engineers, technicians, and purchase managers across different countries a shared, detailed view of the product. What began as a trade fair tool evolved into a company-wide asset for sales, training, and communications. For industrial businesses looking to adopt XR, Qualium Systems serves as a trusted technology partner, delivering VR and Web3D solutions that simplify the presentation of complex equipment, enhance product understanding, and support more effective digital engagement. Immersive brand storytelling XR gives brands the ability to place customers at the center of a narrative, transforming passive content consumption into a first-person experience that is far harder to forget. A VR film or AR…

Immersive XR Tech and Artificial Intelligence are advancing MedTech beyond cautious incremental change to an era where data-driven intelligence transforms healthcare. This is especially relevant in the operating room — the most complex and high-stakes environment, where precision, advanced skills, and accurate, real-time data are essential. Incremental Change in Healthcare is No Longer an Option Even in a reality transformed by digital medicine, many operating rooms still feel stuck in an analog past, and while everything outside the OR has moved ahead, transformation has been slow and piecemeal inside it. This lag is more pronounced in complex, demanding surgeries, but immersive technologies convert flat, two-dimensional MRI and CT scans into interactive 3D visualizations. Surgeons now have clearer spatial insight as they work, which reduces the risk of unexpected complications and supports better overall results. Yet, healthcare overall has changed only gradually, although progress has been made over the course of decades. Measures such as reducing fraud, rolling out EMR, and updating clinical guidelines have had limited success in controlling costs and closing quality gaps. For example, the U.S. continues to spend more than other similarly developed countries. Everything calls for a fundamental rethinking of how healthcare is structured and delivered. Can our healthcare systems handle 313M+ surgeries a year? Over 313 million surgeries will likely be performed every year by 2030, putting significant pressure on healthcare systems. Longer waiting times, higher rates of complications, and operating rooms stretched to capacity are all on the rise as a result. Against this backdrop, immersive XR and artificial intelligence are rapidly becoming vital partners in the OR. They turn instinct-driven judgement into visual data-informed planning, reducing uncertainty and supporting confident decision-making. The immediate advantages are clear enough: shorter time spent in the operating room include reduced operating-room time and lower radiation exposure for patients, surgeons, and OR staff. Just as critical, though less visible, are the long-term outcomes. Decreased complication rates and a lower likelihood of revision surgeries are likely to have an even greater impact on the future of the field. These issues have catalyzed the rise of startups in surgical intelligence, whose platforms automate parts of the planning process, support documentation, and employ synthetic imaging to reduce time spent in imaging suites. Synthetic imaging, for clarity, refers to digitally generated images, often created from existing medical scans, that enrich diagnostic and interpretive insights. The latest breakthroughs in XR and AI Processing volumetric data with multimodal generative AI, which divides volumes into sequences of patches or slices, now enables real-time interpretation and assistance directly within VR environments. Similarly, VR-augmented differentiable simulations are proving effective for team-based surgical planning, especially for complex cardiac and neurosurgical cases. They integrate optimized trajectory planners with segmented anatomy and immersive navigation interfaces. Organ and whole-body segmentation, now automated and fast, enables multidisciplinary teams to review patient cases together in XR, using familiar platforms such as 3D Slicer. Meanwhile, DICOM-to-XR visualization workflows built on surgical training platforms like Unity and UE5 have become core building blocks to a wave of MedTech startups that proliferated in 2023–2024, with further integrations across the industry. The future of surgery is here The integration of volumetric rendering and AI-enhanced imaging has equipped surgeons with enhanced visualization, helping them navigate the intersection of surgery and human anatomy in 2023. Such progress led to a marked shift in surgical navigation and planning, becoming vital for meeting the pressing demands currently facing healthcare systems. 1) Surgical VR: Volumetric Digital Twins Recent clinical applications of VR platforms convert MRI/CT DICOM stacks into interactive 3D reconstructions of the patient’s body. Surgeons can explore these models in detail, navigate them as if inside the anatomy itself, and then project them as AR overlays into the operative field to preserve spatial context during incision. Volumetric digital twins function as dynamic, clinically vetted, and true-to-size models, unlike static images. They guide trajectory planning, map procedural risks, and enable remote team rehearsals. According to institutions using these tools, the results include clearer surgical approaches, reduced uncertainty around critical vasculature, and greater confidence among both surgeons and patients. These tools serve multidisciplinary physician teams, not only individual users. Everyone involved can review the same digital twin before and during surgery, working in tight synchronization without the risk of mistakes, especially in complex surgeries such as spinal, cranial, or cardiovascular cases. These pipelines also generate high-fidelity, standardized datasets that support subsequent AI integration, as they mature. Automated segmentation, predictive risk scoring, and differentiable trajectory optimizers can now be layered on top, transforming visual intuition into quantifiable guidance and enabling teams to leave less to chance, delivering safer and less invasive care. The VR platform we built for Vizitech USA serves as a strong example within the parallel and broader domain of healthcare education. VMed-Pro is a virtual-reality training platform built to the standards of the National Registry of Emergency Medical Technicians; the scenarios mirror real-world protocols, ensuring that training translates directly to clinical practice. Beyond procedural skills, VMed-Pro also reinforces core medical concepts; learners can review anatomy and physiology within the context of a virtual patient, connecting textbook knowledge to hands-on clinical judgment. 2) Surgical AR: Intra-operative decision making Augmented reality for surgical navigation combines real-time image registration, AI segmentation, ergonomically designed head-worn glasses, and headsets to convert preoperative DICOM stacks into interactive holographic anatomy, giving surgeons X-ray visualization without diverting gaze from the field – a true Surgical Copilot right in the OR. AI-driven segmentation and computer-vision pipelines generate metric-accurate volumetric models and annotated overlays that support trajectory planning, instrument guidance, and intraoperative decision support. Robust spatial registration and tracking (marker-based or depth-sensor aided) align holograms with patient anatomy to submillimetre accuracy, enabling precise tool guidance and reduced reliance on fluoroscopy. Lightweight AR hardware, featuring hand-tracking and voice control, preserves surgeon ergonomics and minimizes distractions. Cloud and on-premises inference options balance latency and computational power to enable real-time assistance. Significant industry investment and agile startups have driven integration with PACS, navigation systems, and multi-user XR sessions, enhancing preoperative rehearsal and team…

Estimation of IT projects based on VR, XR, MR, or AI requires both a deep technical understanding of advanced technologies and the ability to predict future market tendencies, potential risks, and opportunities. In this document, we aim to thoroughly examine estimation methodologies that allow for the most accurate prediction of project results in such innovative fields as VR/MR/AR and AI by describing unique approaches and strategies developed by Qualium Systems. We strive to cover existing estimation techniques used at our company and delve into the strategies and approaches that ensure high efficiency and accuracy of the estimation process. While focusing on different estimation types, we analyze the choice of methods and alternative approaches available. Due attention is paid to risk assessment being the key element of a successful IT project implementation, especially in such innovative fields as VR/MR/AR and AI. Moreover, the last chapter covers the demo of a project of ours, the Chemistry education app. We will show how the given approaches practically affect the final project estimation. Read

Breaking Down Spatial Anchors in AR/MR Augmented Reality (AR) and Mixed Reality (MR) depend on accurate understanding of the physical environment to create realistic experiences, and they hit this target with the concept of spatial anchors. These anchors act like markers, either geometric or based on features, that help virtual objects stay in the same spot in the real world — even when users move around. Sounds simple, but the way spatial anchors are implemented varies a lot depending on the platform; for example, Apple’s ARKit, Google’s ARCore, and Microsoft’s Azure Spatial Anchors (ASA) all approach them differently. If you want to know how these anchors are used in practical scenarios or what challenges developers often face when working with them, this article dives into these insights too. What Are Spatial Anchors and Why They Matter A spatial anchor is like a marker in the real world, tied to a specific point or group of features. Once you create one, it allows for some important capabilities: Persistence. Virtual objects stay exactly where you placed them in the real-world, even if you close and restart the app. Multi-user synchronization. Multiple devices can share the same anchor, so everyone sees virtual objects aligned to the same physical space. Cross-session continuity. You can leave a space and come back later, and all the virtual elements will still be in the right place. In AR/MR, your device builds a point cloud or feature map by using the camera and built-in sensors like the IMU (inertial measurement unit). Spatial anchors are then tied to those features, and without them, virtual objects can drift or float around as you move, shattering the sense of immersion. Technical Mechanics of Spatial Anchors At a high level, creating and using spatial anchors involves a series of steps: Feature Detection & Mapping To start, the device needs to understand its surroundings: it scans the environment to identify stable visual features (e.g., corners, edges). Over time, these features are triangulated, forming a sparse map or mesh of the space. This feature map is what the system relies on to anchor virtual objects. Anchor Creation Next, anchors are placed at specific 3D locations in the environment in two possible ways: Hit-testing. The system casts a virtual ray from a camera to a user-tapped point, then drops an anchor on the detected surface. Manual placement. Sometimes, developers need precise control, so they manually specify the exact location of an anchor using known coordinates, like ensuring it perfectly fits on the floor or another predefined plane. Persistence & Serialization Anchors aren’t temporary — they can persist, and here’s how systems make that possible: Locally stored anchors. Frameworks save the anchor’s data, like feature descriptors and transforms, in a package called a “world map” or “anchor payload”. Cloud-based anchors. Cloud services like Azure Spatial Anchors (ASA) upload this anchor data to a remote server to let the same anchor be accessed across multiple devices. Synchronization & Restoration When you’re reopening the app or accessing the anchor on a different device, the system uses the saved data to restore the anchor’s location. It compares stored feature descriptors to what the camera sees in real time, and if there’s a good enough match, the system confidently snaps the anchor into position, and your virtual content shows up right where it’s supposed to. However, using spatial anchors isn’t perfect, like using any other technology, and there are some tricky issues to figure out: Low latency. Matching saved data to real-time visuals has to be quick; otherwise, the user experience feels clunky. Robustness in feature-scarce environments. Blank walls or textureless areas don’t give the system much to work with and make tracking tougher. Scale drift. Little errors in the system’s tracking add up over time to big discrepancies. When everything falls into place and the challenges are handled well, spatial anchors make augmented and virtual reality experiences feel seamless and truly real. ARKit’s Spatial Anchors (Apple) Apple’s ARKit, rolled out with iOS 11, brought powerful features to developers working on AR apps, and one of them is spatial anchoring, which allows virtual objects to stay fixed in the real world as if they belong there. To do this, ARKit provides two main APIs that developers rely on to achieve anchor-based persistence. ARAnchor & ARPlaneAnchor The simplest kind of anchor in ARKit is the ARAnchor, which represents a single 3D point in the real-world environment and acts as a kind of “pin” in space that ARKit can track. Building on this, ARPlaneAnchor identifies flat surfaces like tables, floors, and walls, allowing developers to tie virtual objects to these surfaces. ARWorldMap ARWorldMap makes ARKit robust for persistence and acts as a snapshot of the environment being tracked by ARKit. It captures the current session, including all detected anchors and their surrounding feature points, into a compact file. There are a few constraints developers need to keep in mind: World maps are iOS-only, which means they cannot be shared directly with Android. There must be enough overlapping features between the saved environment and the current physical space, and textured structures are especially valuable for this, as they help ARKit identify key points for alignment. Large world maps, especially those with many anchors or detailed environments, can be slow to serialize and deserialize, causing higher application latency when loading or saving. ARKit anchors are ideal for single-user persistence, but sharing AR experiences across multiple devices poses additional issues, and developers often employ custom server logic (uploading ARWorldMap data to a backend), enabling users to download and use the same map. However, this approach comes with caveats: it requires extra development work and doesn’t offer native support for sharing across platforms like iOS and Android. ARCore’s Spatial Anchors (Google) Google’s ARCore is a solid toolkit for building AR apps, and one of its best features is how it handles spatial anchors: Anchors & Hit-Testing ARCore offers two ways to create anchors. You can use Session.createAnchor(Pose) if you already know the anchor’s position, or…

Understanding XR in Industry 4.0 Industry 4.0 marks a turning point in making industry systems smarter and more interconnected: it integrates digital and physical technologies like IoT, automation, and AI, into them. And you’ve probably heard about Extended Reality (XR), the umbrella for Virtual Reality, Augmented Reality, and Mixed Reality. It isn’t an add-on. XR is one of the primary technologies making the industry system change possible. XR has made a huge splash in Industry 4.0, and recent research shows how impactful it has become. For example, a 2023 study by Gattullo et al. points out that AR and VR are becoming a must-have in industrial settings. It makes sense — they improve productivity and enhance human-machine interactions (Gattullo et al., 2023). Meanwhile, research by Azuma et al. (2024) focuses on how XR makes workspaces safer and training more effective in industrial environments. One thing is clear: the integration of XR into Industry 4.0 closes the gap between what we imagine in digital simulations and what actually happens in the real world. Companies use XR to work smarter — it tightens up workflows, streamlines training, and improves safety measures. The uniqueness of XR is in its immersive nature. It allows teams to make better decisions, monitor operations with pinpoint accuracy, and effectively collaborate, even if team members are on opposite sides of the planet. XR Applications in Key Industrial Sectors Manufacturing and Production One of the most significant uses of XR in Industry 4.0 is in manufacturing, where it enhances design, production, and quality control processes. Engineers now utilize digital twins, virtual prototypes, and AR-assisted assembly lines, to catch possible defects before production even starts. Research by Mourtzis et al. (2024) shows how effective digital twin models powered by XR are in smart factories: for example, studies reveal that adopting XR-driven digital twins saves design cycle times by up to 40% and greatly speeds up product development. Besides, real-time monitoring with these tools has decreased system downtimes by 25% (Mourtzis et al., 2024). Training and Workforce Development The use of XR in employee training has changed how industrial workers acquire knowledge and grow skills. Hands-on XR-based simulations allow them to practice in realistic settings without any of the risks tied to operating heavy machinery, whereas traditional training methods usually involve lengthy hours, high expenses, and the need to set aside physical equipment, disrupting operations. A study published on ResearchGate titled ‘Immersive Virtual Reality Training in Industrial Settings: Effects on Memory Retention and Learning Outcomes’ offers interesting insights on XR’s use in workforce training. It was carried out by Jan Kubr, Alena Lochmannova, and Petr Horejsi, researchers from the University of West Bohemia in Pilsen, Czech Republic, specializing in industrial engineering and public health. The study focused on fire suppression training to show how different levels of immersion in VR affect training for industrial safety procedures. The findings were astounding. People trained in VR remembered 45% more information compared to those who went through traditional training. VR also led to a 35% jump in task accuracy and cut real-world errors by 50%. On top of that, companies using VR in their training programs noticed that new employees reached full productivity 25% faster. The study uncovered a key insight: while high-immersion VR training improves short-term memory retention and operational efficiency, excessive immersion — for example, using both audio navigation and visual cues at the same time — can overwhelm learners and hurt their ability to absorb information. These results showed how important it is to find the right balance when creating VR training programs to ensure they’re truly effective. XR-based simulations let industrial workers safely engage in realistic and hands-on scenarios without the hazards or costs of operating heavy machinery, changing the way they acquire new skills. Way better than sluggish, costly, and time-consuming traditional training methods that require physical equipment and significant downtime. Maintenance and Remote Assistance XR is also transforming equipment maintenance and troubleshooting. In place of physical manuals, technicians using AR-powered smart glasses can view real-time schematics, follow guided diagnostics, and connect with remote experts, reducing downtime. Recent research by Javier Gonzalez-Argote highlights how significantly AR-assisted maintenance has grown in the automotive industry. The study finds that AR, mostly mediated via portable devices, is widely used in maintenance, evaluation, diagnosis, repair, and inspection processes, improving work performance, productivity, and efficiency. AR-based guidance in product assembly and disassembly has also been found to boost task performance by up to 30%, substantially improving accuracy and lowering human errors. These advancements are streamlining industrial maintenance workflows, reducing downtime and increasing operational efficiency across the board (González-Argote et al., 2024). Industrial IMMERSIVE 2025: Advancing XR in Industry 4.0 At the Industrial IMMERSIVE Week 2025, top industry leaders came together to discuss the latest breakthroughs in XR technology for industrial use. One of the main topics of discussion was XR’s growing impact on workplace safety and immersive training environments. During the event, Kevin O’Donovan, a prominent technology evangelist and co-chair of the Industrial Metaverse & Digital Twin committee at VRARA, interviewed Annie Eaton, a trailblazing XR developer and CEO of Futurus. She shared exciting details about a groundbreaking safety training initiative, saying: “We have created a solution called XR Industrial, which has a collection of safety-themed lessons in VR … anything from hazards identification, like slips, trips, and falls, to pedestrian safety and interaction with mobile work equipment like forklifts or even autonomous vehicles in a manufacturing site.” By letting workers practice handling high-risk scenarios in a risk-free virtual setting, this initiative shows how XR makes workplaces safer. No wonder more companies are beginning to see the value in using such simulations to improve safety across operations and avoid accidents. Rethinking how manufacturing, training, and maintenance are done, extended reality is rapidly becoming necessary for Industry 4.0. The combination of rising academic study and practical experiences, like those shared during Industrial IMMERSIVE 2025, highlights how really strong this technology is. XR will always play a big role in optimizing efficiency, protecting workers, and…