
Real-world AI insights for veterinary professionals from a data scientist with 29 years in the industry. Exploring how probability, diagnostics, and emerging AI tools are reshaping veterinary practice – without the hype.
| Platform | Pricing | Freemium | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 18 | Founded | 3 years ago | Last Issue | 4 months ago |
| Active | |||||

In 1979, a computer system at Stanford University performed something remarkable. MYCIN, an artificial intelligence system designed to recommend antimicrobial therapy for bacterial infections, was evaluated against infectious disease expert...
A framework from the dawn of medical informatics explains why some veterinary AI works brilliantly while the rest struggles—and why your data challenges aren’t going away.
In 1984, a UCSF dermatologist and medical informaticist name...
Three shifts are converging that will fundamentally transform how veterinary software is built, sold, and used. If you’re building veterinary software, your business model is about to change. If you’re buying it, your evaluation criteria ne...
Andrej Karpathy, OpenAI co-founder and one of the world’s most respected AI researchers, recently appeared on a podcast and made headlines with his prediction: useful AI agents are about a decade away. He described current AI agents as lack...
Hallucination Detection and Reduction Techniques for Daily Practice
When ChatGPT was tested on veterinary curriculum questions in 2024, it correctly answered only 33% of questions consistently. Even GPT-4 managed just 69%. More concerning:...
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The writers behind this newsletter.
All things data. Data scientist, AI specialist. 27 years working with data systems in the veterinary industry.
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