AR glasses show promise for canine head and neck surgery
Bottom line
UC Davis researchers report that augmented reality glasses improved accuracy in simulated canine head and neck surgical tasks, without slowing veterinarians down. In the proof-of-concept study, published online June 5, 2026, in the American Journal of Veterinary Research, 22 veterinarians used an AR application built for XREAL glasses to place coordinate and surface annotations on a 3D dog head hologram. Direct AR overlay outperformed the traditional “look at a separate screen, then transfer” approach, with lower mean distance error and better area coverage. (pubmed.ncbi.nlm.nih.gov)
Why it matters: For veterinary surgeons, especially those working in head and neck, oral, neurologic, or orthopedic procedures, the study points to a possible way to keep imaging guidance in the surgeon’s line of sight instead of splitting attention between the patient and a monitor. That could matter in cases where millimeters count, such as tumor margin planning or navigating dense anatomy, although this was still a simulated model, not a live clinical procedure. (pubmed.ncbi.nlm.nih.gov)
What to watch: The next step is whether UC Davis can translate the headset-based guidance from hologram testing into real clinical cases and overlay diagnostic imaging onto the surgical field itself. (pubmed.ncbi.nlm.nih.gov)
Key facts
- Study type
- Proof-of-concept study
- Institution
- UC Davis
- Participants
- 22 veterinarians
- Model
- Simulated canine head and neck surgical tasks
- Technology
- AR application built for XREAL glasses
- Publication date
- June 5, 2026
- Journal
- American Journal of Veterinary Research
- Main finding
- Direct AR overlay improved spatial accuracy without reducing speed overall
Augmented reality glasses may be moving a step closer to the veterinary operating room. A UC Davis proof-of-concept study found that AR-guided visualization improved spatial accuracy in simulated canine head and neck surgical tasks, while maintaining comparable speed for area-tracing work. The paper was published online June 5, 2026, in the American Journal of Veterinary Research. (pubmed.ncbi.nlm.nih.gov)
The work builds on a broader push to bring augmented reality into complex surgery, particularly in anatomically crowded regions where surgeons often have to mentally translate imaging from a separate monitor to the patient on the table. UC Davis Health’s Medical Extended Reality group has already been applying AR overlays in human head and neck, spine, and reconstructive procedures, and the veterinary study appears to be an early translational step from that environment into animal care. (health.ucdavis.edu)
In the veterinary study, researchers developed a Unity-based AR application compatible with XREAL glasses and tested two workflows: one in which users viewed targets on a computer screen and transferred that information to the model, and another in which targets were seen directly on the canine head hologram. According to the abstract, direct AR guidance reduced mean distance error to 2.73 mm from 3.42 mm, and improved area coverage accuracy to 83.7% from 63.3%. Completion times differed for coordinate tasks, but not for area tracing, leading the authors to conclude that AR improved spatial accuracy without reducing speed overall. The study involved 22 veterinarians at the UC Davis Weill School of Veterinary Medicine. (pubmed.ncbi.nlm.nih.gov)
Lead author Stephanie Goldschmidt said the technology could improve precision by placing 3D diagnostic imaging and biologic information directly onto the animal patient. That framing is important because the current study did not test live surgery, tumor resection, or patient outcomes. Instead, it focused on feasibility, reproducibility, and whether surgeons performed better when visual guidance stayed in their field of view. (behavior.vetmed.ucdavis.edu)
The findings also fit with a larger trend in veterinary surgical navigation. A recent AJVR review on computer-assisted surgical navigation described augmented reality, AI-assisted registration, and robotic guidance as likely drivers of wider adoption in veterinary practice, though such systems still face cost, workflow, and validation hurdles. In that context, the UC Davis paper is less a ready-for-practice product than an early signal that head-mounted visualization may eventually complement existing navigation tools in referral and academic settings. (pubmed.ncbi.nlm.nih.gov)
Why it matters: For veterinary professionals, the practical question is whether AR can reduce cognitive load in procedures where anatomy is tight and margins are unforgiving. In oral and maxillofacial oncology, skull and cervical approaches, and some neurosurgical or orthopedic cases, surgeons often rely on preoperative imaging but must still map that information back onto the patient manually. A reliable overlay system could improve confidence in localization, support cleaner margins, and potentially reduce unnecessary tissue disruption. But the evidence is still early, and clinics should view this as a research-stage advance rather than a near-term standard of care. (pubmed.ncbi.nlm.nih.gov)
There are also implementation questions ahead. Hardware comfort, sterility, calibration, registration accuracy on live patients, and integration with CT or MRI datasets will all matter more than performance on a hologram alone. Human surgical literature in head and neck AR has pointed to similar challenges, even as it suggests real promise for overlay-based guidance in dense anatomy. (doi.org)
What to watch: Watch for follow-up UC Davis studies that move from hologram-based testing to cadaveric or live clinical validation, especially work that links AR overlays to diagnostic imaging and measures whether the technology changes margins, complication rates, operative time, or training outcomes. (pubmed.ncbi.nlm.nih.gov)