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.

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