Specificity measures how precisely a test identifies true negatives, avoiding false positives. Clinicians use it alongside sensitivity to evaluate diagnostic accuracy, while researchers apply it in study design and statistical modeling. Patients benefit when accurate testing reduces unnecessary treatments and anxiety, guiding better medical decisions.
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