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By the end of this phase you should be able to show the following.

AreaWhat you have done
Technical performanceMeasured your primary metrics on a held-out test set, compared them with current practice and checked calibration
External validationRepeated the measurements on data from at least one other site, which shows whether performance carries over to new settings
FairnessReported performance for each relevant patient group and judged whether the differences matter clinically
UsabilityTested the tool with representative users and measured acceptance, task time and errors
Clinical utility and safetyRun the tool prospectively in practice (first in silent mode, then in an impact study, with a randomised trial where feasible) and recorded adverse events and near misses
RobustnessTested performance under realistic variation and, where relevant, deliberate manipulation of inputs
ExplainabilityChecked that explanations match what the model does and that clinicians understand them
ReportingWritten up the results following the relevant international reporting guideline, including failures and negative findings

External validation shows that performance transfers to other data. It does not show that patients benefit; only a prospective evaluation in clinical practice can show that.