OnCo
ideasIdea

Pathologist assistants plus AI triage to multiply pathologist capacity

Much of a pathologist's day is preparation, measuring and describing specimens. Trained assistants can do that, and AI can pre-screen slides, so each pathologist reports far more cancers.

Pathologists' assistants (a recognised profession in North America) perform gross examination and dissection, while AI tools can pre-screen slides for likely malignancy and prioritise them. Together these could double the throughput of a pathologist without lowering quality. Most health systems have neither role nor tool in routine use. The proposal is a combined workforce-and-technology package with a training route for assistants and validated AI triage.

Hypothesis
Laboratories deploying assistants and AI triage will increase cancers reported per pathologist-hour by at least 80% and reduce median turnaround time by a third, with no increase in major discrepancies on audit.
Rationale
Grossing and screening are the time-consuming, protocol-driven parts of pathology; AI triage has shown high sensitivity in prostate and lymph node screening tasks.
What would test it
A controlled implementation in four laboratories with time-motion, turnaround, and discrepancy-rate measurement against matched laboratories.
Maturity
early clinical
Who has to act
clinic
Cost to try
Medium ($1M to $50M)
Years to first evidence
3
Bottlenecks it attacks

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Diagnostics & Biomarkers

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Digital pathology & AI

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bottlenecks

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AI that is built but not validated or deployedNot enough oncologists, nurses, pathologists, physicists