Beyond the Glass Slide: Emerging Technologies That Will Reshape Veterinary Pathology
The histopathology workflow has been essentially unchanged for decades. Two emerging technologies — virtual staining and label-free imaging — represent something genuinely different. Neither is ready for routine veterinary use yet. Both are worth understanding now.
The AI-Connected Clinic: A Diagnostic Ecosystem That Doesn’t Exist Yet — But Almost Does
The individual AI tools reshaping veterinary diagnostics each solve a piece of the puzzle. The bigger opportunity — and the harder one — is connecting them. Here's what that could look like, why it matters, and what practices can do right now to build toward it.
Computational Pathology: What AI Sees Under the Microscope — and What It Still Gets Wrong
Computational pathology is the application of digital image analysis and machine learning to tissue and cytology samples. It covers a wide range of tasks that differ significantly in how technically complex they are and how well they've been validated.
AI and the Diagnostic Sample: From Cytology Reads to Smarter Biopsy Selection
The diagnostic sample is where clinical impressions become something testable — and where a surprising amount of diagnostic information is lost before it ever reaches the lab. AI is beginning to change what gets sampled, how it's documented, and whether it gets submitted at all.
AI at the Point of Care
That is where artificial intelligence stands the most immediate chance of making a difference in veterinary medicine. Not in replacing the diagnostic expertise at the end of the pipeline, but in improving the quality of what enters it.