Prior Knowledge and Practice

Prior Knowledge and Practice

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The Practitioner's Guide to Using AI Safely in Veterinary Medicine - Part 1
Hallucination Detection and Reduction Techniques for Daily Practice
 • Dave Kincaid
From Six Months to Six Days: AI's Impact on Veterinary Software
Why the tools veterinarians need are suddenly faster and cheaper to build
 • Dave Kincaid
The Veterinary Professional's Guide to LLM Prompting
Getting Better Results While Staying Safe
 • Dave Kincaid
The Most Important Number You're Not Calculating
How veterinarians unconsciously use pre-test probability—and why making it explicit transforms both clinical decisions and AI tool design
 • Dave Kincaid
The Three Layers of Veterinary Software Interoperability: Why Your AI Tools Can't Talk to Each Other
Understanding the Connection, Structure, and Semantic Barriers That Fragment Veterinary Practice Technology
 • Dave Kincaid
Language Models in Veterinary Practice: What Good Evaluation Actually Looks Like
Understanding the Critical Difference Between Looking Right and Being Right in Veterinary AI
 • Dave Kincaid
Why Veterinary Medicine Needs Standardized Terminology: Understanding SNOMED-CT Without Disrupting Workflows
Understanding the Path to Interoperable Clinical Data Without Disrupting Veterinary Workflows
 • Dave Kincaid
Prior Knowledge and Practice
Prior Knowledge and Practice
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.
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