What the programme covers
Diagnostic development begins with the proposed output and clinical role. A triage classifier, lesion detector, segmentation system and quantitative measurement model require different cases, labels, exclusions and error analysis.
What a useful specification includes
A defensible request defines the clinical task, source evidence and acceptance criteria before patient-level data moves. The exact fields and thresholds depend on the intended model claim.
- Clinical role and intended model output
- Target findings, controls and difficult cases
- Acquisition, site and population coverage
- Reference-standard and annotation protocol
- Patient-safe training and tuning splits
- Failure modes and subgroup evaluation
Quality and validation controls
Development quality combines data integrity with clinical label fitness. Cases with uncertain truth can be excluded, modeled explicitly or sent for review, but should not be silently forced into a class.
- Case and control definition
- Annotation agreement and adjudication
- Acquisition and subgroup distributions
- Leakage and repeated-patient controls
- Error taxonomy and difficult-case coverage
Availability, rights and delivery
A versioned development cohort can be released with manifests, labels, preprocessing lineage and explicit known limitations.
Public pages describe a sourcing and engineering capability, not guaranteed ready inventory. Each release remains subject to verified programme inventory, programme-specific authorization, privacy review, technical acceptance and buyer licence terms.
Questions, answered directly.
Can diagnostic labels come from reports?+
Sometimes. The task determines whether report evidence is sufficient or requires additional review or pathology or outcome confirmation.
Are segmentation masks always required?+
Only for segmentation or spatial evaluation tasks where masks are the appropriate reference standard.
Can rare findings be enriched?+
Potentially, but enrichment changes prevalence and must be documented.
Can the same cases be used for final validation?+
They should not be used as independent final validation after influencing model development.