Surgical pathology
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No. 1 of 20
Getting Started with AI in Surgical Pathology
A practical primer for the practising pathologist — what the technology actually does in surgical pathology, what to ask of it, and how to start safely.
Surgical pathology carries the largest slide volume, the widest differential, and the most consequential sign-outs in the laboratory. It is also the discipline where the digital substrate matured earliest. Once a department scans routinely, every H&E becomes a machine-readable object, and the questions AI can be asked stop being theoretical.
What the primer covers
- SectionWhy surgical pathology is where AI arrived first
- SectionThe task map: what algorithms actually do
- SectionFoundation models, and why the vocabulary changed
- SectionYour first 90 days
- SectionValidating in your own laboratory
- SectionFailure modes to know before you start
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in surgical pathology meeting diagnostic AI for the first time
- Laboratory leads assessing vendor claims and planning validation
- Trainees who want the regulatory and methodological context, not marketing
Educational guidance, not clinical protocol or regulatory advice. Algorithm authorisations and validation requirements change — confirm the current position with your regulator and your own quality system.