Dermatopathology
Free download
No. 4 of 20
Getting Started with AI in Dermatopathology
A practical primer for the practising pathologist — what the technology actually does in dermatopathology, what to ask of it, and how to start safely.
Dermatopathology combines two properties that make it unusually attractive to algorithm developers: enormous specimen volume dominated by a small number of common diagnoses, and a notoriously poor interobserver reproducibility on the cases that matter most.
What the primer covers
- SectionWhy dermatopathology is a natural target
- SectionWhere the evidence currently stands
- SectionThe task map for skin
- SectionYour first 90 days
- SectionValidation specifics for skin
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in dermatopathology 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.