Technology

Artificial intelligence is being applied to radiographic interpretation, lameness detection from video analysis, predictive modeling for colic risk, and histopathology screening. AI tools assist clinical decision-making but work best as a complement to veterinary expertise rather than a replacement.

Wearables are sensor-based devices attached to halters, legs, girths, or saddle pads that track heart rate, respiratory rate, activity levels, gait symmetry, and recumbency patterns. They provide continuous, non-invasive data that supports early detection of colic, post-operative complications, subclinical lameness, and changes in recovery or training readiness.

Standing CT and MRI, high-resolution digital radiography, and portable wireless ultrasound have expanded imaging access and reduced the need for general anesthesia. These tools improve diagnostic accuracy for musculoskeletal, neurologic, and soft tissue conditions.

Telemedicine enables remote consultations, triage support, specialist access, and follow-up monitoring, particularly benefiting rural and underserved areas. Its role expanded significantly during recent years and continues to evolve alongside regulatory and licensure developments.

Evaluation should consider peer-reviewed evidence, workflow integration, training requirements, return on investment, and client value. Pilot testing, vendor transparency, and input from early-adopter colleagues help distinguish genuinely useful tools from overpromised innovations.

Cloud-based medical records, automated invoicing, client communication platforms, inventory management systems, and scheduling software are increasingly adopted. Integration between clinical and business tools streamlines workflows and improves data capture for better patient outcomes.