Clinical microbiology
Free download
No. 18 of 20
Getting Started with AI in Clinical Microbiology
A practical primer for the practising pathologist — what the technology actually does in clinical microbiology, what to ask of it, and how to start safely.
Clinical microbiology has a structural problem that AI addresses directly: it is the last major laboratory discipline still dependent on skilled human visual interpretation at high volume, and it faces severe workforce shortages. Chemistry autoverifies nearly everything. Haematology has automated differentials. Microbiology still has technologists reading plates and Gram stains by eye.
What the primer covers
- SectionThe laboratory discipline with the clearest automation case
- SectionWhere the evidence is strongest
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in clinical microbiology 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.