Neuropathology
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No. 5 of 20
Getting Started with AI in Neuropathology
A practical primer for the practising pathologist — what the technology actually does in neuropathology, what to ask of it, and how to start safely.
Neuropathology occupies a unique position: it is the only pathology subspecialty in which a machine learning classifier has been formally incorporated into the World Health Organization’s tumour classification and into routine diagnostic practice worldwide. That classifier is not an imaging model. It is a random forest applied to DNA methylation data.
What the primer covers
- SectionThe subspecialty where machine learning already rewrote the classification
- SectionThe intraoperative revolution
- SectionWhere imaging AI fits
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in neuropathology 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.