Imaging and interpretation
Define the images, reports, annotations, and acquisition context needed to train or evaluate a model.
02 / Healthcare data
Clinical depth.
Beyond the record.
Specialist clinical data for AI teams that need linked context, expert judgement, and evaluation beyond a public benchmark.
Discuss your requirementThe data in context
The image is one part of the clinical question.
A record becomes more useful when the relevant reports, annotations, timepoints, and outcomes can be understood together. We scope healthcare data around a specific research task and the permissions it requires.
Clinical contextIllustrative
01Source recordImages · reports
02Expert judgementAnnotations · edits
03Linked contextTimepoints · outcomes
The value is in the relationship between records.
Start with a clinical
question worth answering.
Examples of data requirements we can scope with you. The final specification follows source and permissions review.
Longitudinal context
Identify which linked records and timepoints are needed to study progression, decisions, or outcomes.
Specialist evaluation
Explore expert-reviewed data for a narrowly defined model behaviour or clinical workflow.
An area of exploration
A focused direction: radiotherapy evaluation.
Radiotherapy contour correction is an area under exploration. Dataset availability, institutional access, and a review protocol must be established for each project.
- 01Define the task
- A specific anatomy, contouring task, and intended evaluation setting.
- 02Establish the reference
- A clinical lead, a review protocol, and an agreed interpretation of acceptable contours.
- 03Assess the records
- Images, initial contours, expert corrections, and linked context where they exist.
- 04Agree the study scope
- Institutional permissions, evaluation criteria, and the conditions for access.
Before we begin
A few useful
questions.
Do you have a ready-to-license healthcare catalogue?
These are areas of focus. Availability depends on the specific source, records, rights, approvals, and intended use. A discussion starts with the research requirement and an assessment of feasibility.
What makes a specialist evaluation dataset useful?
A clearly defined task, appropriate case selection, an agreed expert review process, and the context needed to interpret a result. The protocol should be developed with qualified clinical specialists.
Can you provide correction histories and outcomes?
Only where they were recorded, can be linked appropriately, and are authorised for the proposed use. Historical correction reasoning or timing may be absent; prospective collection would require a separately agreed scope.
For institutions & data holders
Hold specialist clinical records?
Start with a description of the records and who has authority to approve their use.
Start a conversation
What does your clinical model need to learn?
Tell us about your research task, the records you need, and the clinical context that matters.