149: AI Radiology for Vets: How Accurate Are Todays Tools Really? With Dr Steve Joslyn
We scrutinise one of the most practical yet under‑examined advances in veterinary practice: AI‑based radiology interpretation tools. I sit down with veterinary radiologist and Vedi entrepreneur Dr Steve Joslyn to unpack the rise of AI-powered radiology tools in general practice. But this isn’t just opinion: Steve reveals the findings from his team’s recent study that put 6 commercially available AI radiology softwares in the spotlight - or up on the light box - to assess whether they deliver on what they promise. From how these systems are trained, to where they shine (and where they fail), this conversation gives a no-nonsense look at what AI can actually do for your diagnostic imaging workflow. What You’ll Learn:How these tools are built: Neural networks, down-sampling, and the truth behind “ground truth”.The data dilemma: Why most AI tools perform best in theory, not in general practice.Where they fall short: From image quality issues to breed bias and external validation gaps.New accuracy data: Insights from Dr Joslyn’s pilot study comparing six commercial AI tools.A decision-making playbook: When to trust AI, when to double-check, and when to avoid it entirely.Ethics and workflow impact: Who’s responsible? What do you tell clients? Can AI triage be trusted?How to stay future-ready: What’s coming next – and how to adapt without compromising care.🎧 Listen now for the tools to ask better questions about AI in your clinic.Find out how we can help you build you in your vet career at thevetvault.com.Check out our Advanced Surgery Podcast at cutabove.supercast.com. Get case support from our team of specialists in our Specialist Support Space.Subscribe to our weekly newsletter here for Hubert's favourite clinical and non-clinical learnings from the week.Join us in person for our epic adventure CE events at Vets On Tour. (Next up: Japan snow conference!)