Artificial intelligence is rapidly entering veterinary medicine whether we’re ready or not. Some tools are excellent. Some are deeply flawed. Most lie somewhere in between. That doesn’t mean AI is bad. But it does mean you need to know what you’re using – just like any other medical tool.

If you’re trying to evaluate whether an AI product is safe or ethically designed, you’ll quickly realize that there’s no universal standard - and formal regulation often isn’t required at all. That’s where internationally recognized standards come in. While not legally required, ISO and IEEE certifications can be strong indicators that a product is developed with serious attention to ethics, safety, security, and quality.

If you’re evaluating AI tools for your veterinary clinic, it’s easy to assume all companies are held to the same standards. But in reality, AI regulation and ethical frameworks vary dramatically depending on where a product is developed, deployed, or marketed. Below is a curated list of global guidelines, frameworks, and medical device policies to help you understand what standards AI developers should be following.

​The article offers a practical guide to understanding and evaluating AI models in veterinary medicine, emphasizing critical assessment.

Continuous Improvement is a simple yet powerful philosophy, offering veterinary medicine research-backed methods and process-driven growth.

We’re trained scientists. If hiring was simply a science, we’d likely already be following protocols, right? There’s absolutely a science to

If you are an employer reading this, chances are that at some point you have likely interviewed someone or will engage in the interview...

I believe that human resources is one of the business areas that we fail the most in veterinary medicine. It’s not that we’re bad people or