Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02215, USA.
The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
Clin Lab Med. 2024 Sep;44(3):431-440. doi: 10.1016/j.cll.2024.04.005. Epub 2024 Jun 4.
Evaluation of bone marrow aspirate smear and trephine biopsy specimens is critical to the diagnosis of benign and malignant hematologic conditions. Digital pathology has the potential to revolutionize bone marrow assessment through implementation of artificial intelligence for assisted and automated evaluation, but there remain many barriers toward this implementation. This article reviews the current state of digital evaluation of bone marrow aspirate smears and trephine biopsies, recent research using machine learning models for automated specimen analysis, an outline of the advantages and barriers facing clinical implementation of artificial intelligence, and a potential vision of artificial intelligence-associated bone marrow evaluation.
骨髓穿刺涂片和活检标本的评估对良性和恶性血液疾病的诊断至关重要。通过人工智能实现辅助和自动评估，数字病理学有可能彻底改变骨髓评估，但在实现这一目标方面仍存在许多障碍。本文回顾了骨髓穿刺涂片和活检数字评估的现状、最近使用机器学习模型进行自动标本分析的研究、人工智能临床实施面临的优势和障碍概述，以及人工智能相关的骨髓评估的潜在愿景。
