Confidence intervals in diagnostic testing provide a range of values within which the true value of a diagnostic parameter, such as sensitivity or specificity, is expected to lie with a certain level of confidence, typically 95%. This statistical tool helps in understanding the precision and reliability of diagnostic tests, allowing healthcare professionals to make informed decisions based on the potential variability of test results.