Knowledge base

Medical data guides for AI teams

These guides explain the decisions that determine whether medical imaging data is useful: the model task, imaging protocol, cohort, clinical ground truth, privacy, acceptance criteria and permitted use. They are written for technical, clinical and procurement teams evaluating external data.

01

Begin with the decision the model must support

Data acquisition should follow the product claim. The guides separate file format from clinical utility, explain why examinations are not the same as image counts and show how to convert a broad request into a specification hospitals can answer.

02

Use the guides during diligence

A buyer can use the requirement matrix and validation checklist to compare suppliers. A hospital can use the same structure to produce aggregate inventory without moving identifiable data.

03

Questions, answered directly.

Are these guides medical advice?

No. They describe dataset engineering and procurement concepts, not clinical diagnosis or treatment.

Do the guides replace privacy or legal review?

No. They identify operational questions; qualified experts must determine the legal and clinical requirements for a real programme.

Institutional engagement

Build the programme.

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