The key measures of a diagnostic tool include accuracy, cost per test and timeliness. The accuracy has to be high enough to make the test helpful, however, a very low cost and a fast examination time can compensate the flaw of false negative result. For example, if a single test will give a 20% false negative probability, then doing two tests will give just 4% (i.e. neither of the tests reports a positive result). Therefore, in theory, multiple tests to increase confidence of disease detection is feasible if the cost is low enough. So I believe AI in diagnostic medicine is the future and thanks to the people pushing the field so fast!
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