Prior Knowledge and Practice
Dave KincaidReal-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 | Only free issues | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 6 | Subscribers | Read | priorknowledgeandpractice.substack.... |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Technical Note: Spectrum Bias and Test Performance Metrics
Several astute readers reached out after my recent post about diagnostic metrics to raise an important point I had simplified for clarity: the stability of sensitivity and specificity across populations. I appreciate these thoughtful respon...
Beyond PPV: Why Likelihood Ratios Matter for AI-Driven Veterinary Diagnostics
As artificial intelligence and machine learning models increasingly enter veterinary practice, clinicians face a familiar challenge in a new form: how do we interpret these tools' performance metrics in ways that actually help our patients?...
Why LLMs Hallucinate (And Why We Shouldn't Be Surprised)
As large language models (LLMs) like ChatGPT, Claude, and Bard become increasingly integrated into veterinary workflows—from client communication to clinical decision support—one concern dominates conversations: hallucinations. These AI sys...
How to Evaluate AI Systems in Veterinary Medicine: A Framework for Every Type of Tool
In my previous post, I outlined the veterinary AI transparency crisis—how most companies make bold performance claims without providing the validation data to support them. Demanding evidence is step one, but what should that validation act...
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Authors
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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