AI‐Assisted Detection of Intracellular Bacteria in Peripheral Blood Granulocytes: A Case Report

Abstract

ABSTRACT Identifying intracellular bacteria in peripheral blood smears is of utmost importance for diagnosing bacteremia in patients. However, during the initial stages, manual microscopic examination of peripheral blood smears faces significant challenges in detecting these intracellular bacteria. Currently, the application of artificial intelligence (AI)‐enabled slide scanners has emerged as a transformative technology. By leveraging this advanced technology, the detection rate of this critical positive indicator can be significantly improved. This advancement is vital for the early treatment and prognosis of bacteremia patients and will notably optimize their clinical management.

Keywords

• granulocyte
• intracellular bacteria
• morphology
• peripheral blood