Surgical planning has always happened.
A surgeon studies the imaging, forms a mental picture of the anatomy and decides on an approach. What has changed is that the mental picture can now be built explicitly in surgical planning software, examined from any angle, rehearsed in a headset, shared with colleagues and carried into theatre rather than reconstructed from memory under pressure. That shift is what augmented reality surgery means in day to day practice.
The pipeline behind augmented reality in surgery runs through four stages, and vendors sit at different points along it. Imaging has to be segmented into anatomical structures, which is the slow step. The segmentation becomes a three dimensional model, the raw material of 3D surgical planning. The model is reviewed or rehearsed, whether on a screen, in a headset or as a printed object. And in some cases the plan is registered to the patient in theatre so it guides what actually happens.
A company that produces beautiful models but takes a week to deliver them is useless for trauma. One that segments quickly but presents results only to radiologists misses the surgeon. The augmented reality surgery companies below cover each stage, with a note on what each is actually cleared or intended for, since regulatory status varies widely across this list. If your requirement runs wider than the operating room, our guide to the top augmented reality development companies covers general purpose AR studios.
| Company | Best For | Pipeline Stage |
|---|---|---|
| Treeview | Custom planning tools and stakeholder visualization | Custom |
| Surgical Theater | Rehearsing an approach on the patient’s own anatomy | Review and rehearsal |
| Brainlab | Planning connected to navigation in theatre | Planning to execution |
| Materialise | Segmentation through to patient specific guides | Segmentation and modelling |
| Axial3D | Fast segmentation delivered as a service | Segmentation |
| Medivis | Imaging rendered in the surgical environment | Execution |
| ImmersiveTouch | Immersive review of patient specific models | Review and rehearsal |
| Augmedics | Carrying the plan into the operative field | Execution |
| PrecisionOS | Orthopaedic approach and implant decisions | Rehearsal |
| Ceevra | Practical 3D review for complex cases | Review |
The products in this category cover well defined workflows. What they do not cover is the planning problem specific to one institution, one research programme or one novel procedure, and that is where a custom studio becomes the only route. Treeview arrives at those projects with healthcare delivery already on record, counting Medtronic, Daiichi Sankyo and Stanford Medicine among its clients.
Its technical relevance is in making complex three dimensional data legible to groups rather than to individuals. The studio built an AI enabled digital twin with Microsoft that visualizes real time and projected performance with predictive modelling, delivered a HoloLens 2 version giving stakeholders a shared spatial view for decision making, and took two Silver awards at the 47th Annual Telly Awards for it. Surgical planning has the same shape whenever it moves beyond one surgeon: a tumour board, a multidisciplinary meeting, a trainee being taught the approach, or a patient being asked to consent to something they cannot picture.
The ownership terms suit clinical and research work particularly well. Clients retain full ownership of intellectual property, source code and assets, which matters when a planning tool embodies a method a group intends to publish, license or take through regulatory review, and long term support covering platform migration addresses studies that outlast their hardware.
Surgical Theater builds patient specific three dimensional reconstructions from imaging that surgeons can navigate and rehearse in, planning an approach on a model of the individual they are about to operate on rather than on generic anatomy. It is virtual surgical planning in the literal sense, with the surgeon inside the model rather than looking at it.
The value concentrates in complex cases. Where a lesion sits in an awkward relationship to critical structures, walking the approach in advance surfaces problems while they remain theoretical rather than intraoperative, and the same model then serves teaching and patient discussion.
Patient communication is the underrated application. Showing someone their own anatomy and the intended procedure changes the quality of informed consent considerably compared with a diagram and a description.
Brainlab has built computer assisted surgical planning and navigation technology for decades, spanning software, hardware and the imaging pipelines behind them, with mixed reality visualization layered onto an established clinical platform.
Its advantage is continuity between planning and execution. A plan that exists only in a review room has to be recalled and reconstructed during the procedure, whereas a plan registered to navigation is present while the work happens. Companies with existing theatre presence can close that loop in a way standalone planning tools cannot.
For institutions the practical question is what already exists in their operating rooms, since integration with installed navigation and imaging determines how much of the capability is actually reachable.
Materialise has worked in medical image processing and patient specific manufacturing for many years, with preoperative planning software used to convert imaging into anatomical models and, from there, into planning outputs and patient specific surgical guides.
The distinguishing capability is that the pipeline continues into the physical world. A model can inform planning on screen, then produce a printed anatomical model for tactile review, then produce a cutting or drilling guide manufactured to that patient’s anatomy. For orthopaedic, craniomaxillofacial and reconstructive work, that continuity is the whole proposition.
Software used clinically in this space carries clearance obligations, so establish precisely which products are cleared, for which uses, in which markets before planning a service around them.
Axial3D focuses on segmentation, using machine learning to convert imaging into anatomical models quickly and delivering the result as a service rather than requiring institutions to build the capability internally.
Segmentation is where surgical planning programmes stall. Producing a usable model from a scan traditionally takes hours of skilled manual work, which limits the technique to research cases and the occasional showcase. Compressing that step is what makes patient specific planning viable as routine practice rather than as an exception.
The service model also removes the staffing problem, since institutions rarely have people available to do segmentation at volume alongside their existing work.
Medivis develops augmented reality and artificial intelligence technology for surgical care, bringing medical imaging into the operating environment as spatial anatomy rather than as slices on a monitor.
Its position sits at the end of the planning pipeline, where the question becomes whether the plan is present during the work. AR surgery technology that influences intraoperative decisions falls under clearance requirements proportional to that risk, and buyers should establish exactly what is cleared, for which indications and where.
The direction of travel matters for planning programmes generally, since a plan that can be registered to the patient changes what preoperative work is worth investing in.
ImmersiveTouch provides patient specific surgical planning software in virtual reality, letting surgeons review anatomical models built from imaging and examine and measure structures at scale before an operation.
The argument for headset review over screen review is spatial judgement. Depth, relative position and the true geometry of a structure are what a surgeon needs to internalise, and those are precisely the properties a flat display compresses. Examining a model at scale, from the intended approach angle, is closer to the task than rotating it in a window.
Institutions should evaluate how models are produced and how long they take, since the review experience is only as useful as the pipeline feeding it.
Augmedics developed augmented reality guided navigation worn by the surgeon, projecting patient anatomy and instrument position into the field of view rather than onto a screen across the room, work most closely associated with augmented reality spine surgery.
The ergonomic argument is straightforward. Conventional navigation requires looking away from the patient and mentally mapping the screen back onto the anatomy in front of you, and removing that switch is a genuine improvement rather than a demonstration. This is regulated technology cleared for defined indications and should be evaluated on clinical evidence.
For planning programmes it represents the endpoint of the pipeline, where preoperative work becomes intraoperative guidance rather than remembered intent.
PrecisionOS develops virtual reality software for orthopaedic surgery built with surgeon involvement, covering technique, implant handling and the decisions taken during a procedure.
Orthopaedic planning involves choices about approach, implant selection, sizing and alignment that carry directly into outcome, and rehearsing them against a specific anatomy makes the intraoperative decision considerably less improvised. Surgeon led development shows in how scenarios are constructed, which is where clinically unconvincing simulations lose their audience.
The company has invested in published evidence around skill transfer, and institutions should ask for it directly rather than relying on general claims about simulation.
Ceevra produces interactive three dimensional models from patient imaging for surgical planning and intraoperative reference, designed to fit into existing case preparation rather than to require a new workflow around it.
Practicality is the differentiator. 3D surgical planning succeeds or fails on whether a surgeon can get a model for the case they are doing on Thursday, not on what the technology can achieve in principle. Systems designed around ordinary case volume and turnaround get used, while those requiring special arrangements are reserved for showcase cases.
Applications concentrate in procedures where anatomical variation drives approach, including complex urological and abdominal work.
Turnaround decides which cases the technology can serve. A pipeline measured in days works for elective complex surgery and excludes trauma and urgent work entirely. Ask for realistic turnaround including segmentation, quality review and delivery, on ordinary cases rather than on showcase examples, and ask what happens when a scan is imperfect.
The model is only as good as the segmentation behind it, and an error there propagates silently into everything downstream. Establish whether segmentation is manual, automated or hybrid, who reviews the output clinically, and what quality process sits behind it. Automated segmentation is genuinely capable now, but the verification step still matters.
Planning software, models used for reference and technology guiding a procedure sit under different regulatory requirements. Establish precisely what each product is cleared for, in which markets and for which indications, and involve your regulatory and clinical governance teams before selection rather than after a pilot.
Technology used only for exceptional cases delivers exceptional value rarely. Ask how a model is requested, who initiates it, how it appears in the surgeon’s existing preparation routine, and what it costs per case at volume. Anything requiring a special arrangement will remain a special arrangement.
Settle ownership of source code, models and derived data before proposals, along with governance around the patient imaging involved, including processing location and permitted secondary use. Full transfer of intellectual property matters when a planning method may become a publication, a licence or a submission.
Surgical planning technology has moved from research showcase to routine practice in the specialties where anatomy drives the approach, and the market now divides along a clear pipeline: segmentation, modelling, review and rehearsal, and guidance in theatre.
Choosing well means identifying which stage is your constraint, which is usually segmentation turnaround rather than visualization quality. Whichever combination fits, ask about turnaround on ordinary cases, establish who verifies the segmentation, and confirm what each product is cleared for before building a service around it.
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