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Computer-assisted surgical navigation opens new horizons in veterinary surgery.

Andres F Bonilla1,2, Mathieu de Preux3,4,2, Julien Guevar5,6

  • 1Department of Clinical Sciences, Colorado State University, Fort Collins, CO.

American Journal of Veterinary Research
|July 8, 2026
PubMed
Summary
This summary is machine-generated.

Computer-assisted surgical navigation (CASN) improves accuracy and minimally invasive access in veterinary surgery. While challenges like cost and training exist, emerging technologies promise wider adoption and enhanced surgical innovation.

Keywords:
computed tomographyframeless stereotaxyimage-guided surgeryoptical tracking systemsurgical navigation

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Area of Science:

  • Veterinary Surgery
  • Medical Technology
  • Surgical Navigation

Background:

  • Computer-assisted surgical navigation (CASN) is standard in human medicine but emerging in veterinary practice.
  • Widely available CT and MRI in veterinary centers facilitate CASN adoption.
  • CASN integrates preoperative imaging, real-time tracking, and spatial registration.

Purpose of the Study:

  • To review current evidence on CASN in veterinary surgery across species, disciplines, and study designs.
  • To identify benefits and barriers to CASN adoption in veterinary medicine.
  • To explore future developments and potential of CASN in veterinary practice.

Main Methods:

  • Narrative review of existing literature on CASN in veterinary surgery.
  • Synthesis of studies across various veterinary species and surgical fields.
  • Analysis of reported outcomes, including accuracy, invasiveness, and fluoroscopy use.

Main Results:

  • CASN demonstrates consistent benefits in implant placement accuracy and minimally invasive procedures.
  • Accuracy in veterinary studies is comparable to human surgical literature.
  • Reduced reliance on fluoroscopy is a notable advantage.

Conclusions:

  • CASN offers significant potential to enhance veterinary surgical outcomes and reproducibility.
  • High costs, lack of veterinary-specific systems, and training needs are key barriers to adoption.
  • Advancements in AR, AI, and robotics will likely accelerate CASN's integration into veterinary practice, bridging human and animal surgical innovation.