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

Journal: Clinical case reports
Published Date: Jul 30, 2025

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.

Authors

  • Junma You
    Yichang Central People's Hospital Yichang People's Republic of China.
  • Hongsheng Zhang
    Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China.
  • Dan Zhou
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.

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