Laboratory Medicine ›› 2025, Vol. 40 ›› Issue (1): 8-14.DOI: 10.3969/j.issn.1673-8640.2025.01.002

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Research progress on artificial intelligence in assisting diagnosis of bone marrow cell morphology

WANG Chi, LIU Shaomei, LI Mianyang()   

  1. Department of Clinical Laboratory,the First Medical Center of Chinese People's Liberation Army General Hospital,Beijing 100853,China
  • Received:2024-05-14 Revised:2024-11-21 Online:2025-01-30 Published:2025-02-17

Abstract:

The diagnosis of hematologic neoplasms requires comprehensive consideration of clinical manifestations,bone marrow cell morphology,genetics and immune phenotypes. However,bone marrow cell morphology examination is regarded as the gold standard for morphological diagnosis of most hematologic diseases. With the widespread application of tissue image analysis and artificial intelligence (AI) in clinical practice,the automatic image processing system developed using AI demonstrates significant advantages in the bone marrow cell morphology,which can improve the efficiency and quality of morphological diagnosis,reduce labor costs,and enhance the consistency and comparability of determination results. This review focuses on the latest progress in AI's identification of bone marrow cell morphology and its application in the diagnosis of hematologic neoplasms,as well as discusses the challenges and value that AI faces in the future clinical trials and diagnostics.

Key words: Artificial intelligence, Bone marrow, Cell morphology, Hematologic neoplasm

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