Aipedia: Veterinary surgeons and practices
Equine vets can use sensor and video AI to measure lameness, but the vet's own clinical assessment remains the finding that matters, especially in a pre-purchase examination. Buyers of valuable horses rely on that opinion, so claims can be large.
Part of: AI in veterinary practice
In short
Inertial sensors and video gait analysis use AI to quantify asymmetry and flag subtle lameness. They may be used in lameness workups and pre-purchase examinations, covered by Chapter 7 of the RCVS guidance. The RCVS Spring 2026 advice says decisions must not be wholly delegated to AI and output must be critically appraised. A buyer who later finds a problem may argue it should have been detected or reported, and the record of what was found and how it was assessed is central. PI usually responds to negligence claims subject to the policy terms, but high horse values make limits important.
Body-mounted inertial sensors measure head and pelvic movement and calculate asymmetry, and smartphone or camera systems use AI to analyse gait from video. Equine vets use them to detect subtle lameness, track response to nerve blocks, monitor rehabilitation and add objective data to a pre-purchase examination.
Objective numbers can help. They can also mislead: measurements vary with surface, speed, handling and the horse's temperament, and thresholds that flag "lame" may not align with what is clinically significant for the horse's intended use.
The main duties that apply are:
Illustrative scenario: during a pre-purchase examination, a sensor system shows a small hindlimb asymmetry within the range the vet regards as normal variation. The vet does not mention it in the report, and the buyer completes the purchase. A few months later the horse is lame on the same limb, and the buyer's adviser obtains the sensor data and argues the finding should have been reported and investigated.
The reverse also happens: a vet reports a sensor flag as a significant finding without clinical correlation, the sale falls through, and the seller complains. Video systems used by owners and trainers can also create disagreements when their results conflict with the vet's opinion.
Pre-purchase work involves more than one party with an interest. The examining vet acts for the prospective purchaser, but the horse belongs to the seller, who may also be a client of the practice. Sharing AI data or findings with the wrong party, or without the right permission, can raise confidentiality issues under Code 2.6 on top of any negligence argument.
Claims from buyers are usually for the difference in value, veterinary costs and associated losses, and with competition horses these can be significant. Veterinary PI under Code 3.4 usually responds to allegations of negligence in an examination, subject to the policy terms. The defence often depends on what was recorded: the conditions, what the vet observed, what the data showed and how the vet interpreted it. Unexplained sensor data that the vet did not mention can be harder to defend than no data at all. Because the RCVS sets no minimum limit, equine vets should check their limit against the values of horses they examine; see what veterinary PI costs.
These steps reduce the risk:
Related: AI and certification, AI imaging reports and the AI in veterinary practice overview.
Apex arranges PI for equine and mixed practices. A broker reviews your cover, including limits for pre-purchase work and how AI-measured findings are treated.
If it was captured, it is usually safer to record it and explain how you interpreted it. Unexplained data that later surface can suggest a finding was overlooked. Chapter 7 covers pre-purchase examinations, and Code 2.5 requires accurate records.
No. It measures movement and flags asymmetry. The RCVS says clinical decisions must not be wholly delegated to AI, so the vet must judge whether a finding is clinically significant for that horse and its intended use.
The RCVS sets no minimum. The right limit depends on the horses you examine and the claims they could generate. A broker can help compare your work with the limit you hold.
That depends on the arrangements between the practice, the client and the provider of the system. The RCVS asks practices to check where data are stored, whether the developer can access them, and whether the tool trains on live client data.
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