How well a test correctly distinguishes people with a condition from those without it.
Diagnostic accuracy describes how closely a test's results agree with a reference (gold) standard, typically summarised through measures such as sensitivity, specificity, likelihood ratios, and predictive values, or a single index like AUC. High accuracy in one population or setting does not guarantee similar performance elsewhere, since accuracy varies with disease prevalence, spectrum of severity, and the reference standard used.
This guide was auto-drafted and is pending editorial review.