Genitourinary pathology
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No. 8 of 20
Getting Started with AI in Genitourinary Pathology
A practical primer for the practising pathologist — what the technology actually does in genitourinary pathology, what to ask of it, and how to start safely.
Paige Prostate Detect became the first FDA-authorised AI application in pathology, cleared to aid in the primary diagnosis of prostate cancer. The pivotal study design is worth knowing in detail because it set the template for the field: 16 pathologists reviewed 610 prostate needle biopsy whole-slide images unassisted, then after a washout period reviewed them again with AI assistance. Assisted sensitivity improved by approximately 8% and specificity by 0.7%, with the algorithm correctly classifying every whole-sli
What the primer covers
- SectionThe subspecialty with the deepest regulatory track record
- SectionThe task map for GU pathology
- SectionReal-world deployment evidence
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in genitourinary 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.