Abstract:Objective: A narrative review of advances in automated diagnostic tests for diagnosis of tuberculosis infections.
Methods: Electronic databases were searched for tests on automation in Mycobacterium tuberculosis identication. Studies were selected and evaluated that tested for the performance of new and old methods in automated diagnosis with significant impact on the turn-around time of diagnosis and also positive impact on patient care with respect to outcomes.
Results: A total of 40 stu… Show more
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