147: What I Got Wrong (And Right!) About AI in VetMed: A Software Engineer Sets Me Straight. With Rohan Relan
In episode 141, I shared my take on where AI fits into veterinary medicine - and where it might take us next.
But I’m no expert.
So I brought one in.
In this episode, I sit down with Rohan Relin , Silicon Valley software engineer and founder of ScribbleVet ,an AI tool built for vets. We unpack the promise and pitfalls of AI in clinical practice and try to figure out how you can use it without losing sleep (or your license).
What we cover:
- Why AI is not just a "smarter Google”- and why that matters
- The risky shortcuts vets are already taking (and how to avoid them)
- How to increase trust and accuracy when using AI
- Where innovation collides with privacy, data, and consent
- DIY AI vs purpose-built tools
If you're curious about AI but not sure what’s hype and what’s helpful, this one’s for you.
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Topics and Timestamps
04:39 What I got wrong about AI
08:19 How models “know” things — next‐word prediction & reasoning
15:00 Grounding AI responses using external tools / search
19:19 Scribble Vet features
38:12 Privacy, ownership, and AI liability
51:00 Rohan’s podcast and AI tool recommendations
54:00 Key misconceptions & Caveats
