Breast pathology
Free download
No. 10 of 20
Getting Started with AI in Breast Pathology
A practical primer for the practising pathologist — what the technology actually does in breast pathology, what to ask of it, and how to start safely.
Breast pathology has been converting morphology into numbers for longer than any other subspecialty. Nottingham grade decomposes into three scored components. ER, PR, HER2 and Ki-67 are all reported as percentages or scored categories. Tumour size, node status and margin distance are measurements. Multigene assays convert all of it into a recurrence score.
What the primer covers
- SectionThe most quantified subspecialty in pathology
- SectionThe regulatory position
- SectionThe task map
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in breast 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.