血液诊断中的人工智能:当前的应用和未来的前景
Annatina Sarah Schnegg-Kaufmann1,2, Ulrike Bacher1,2, Alicia Rovó1,2
1Department of Hematology and Central Hematology Laboratory, Inselspital Bern, University of Bern, Bern, Switzerland.
Acta haematologica
|October 13, 2025
概括
人工智能 (AI) 正通过在细胞分化和流细胞计等领域的自动化来增强血液学诊断. 虽然有希望,但人工智能需要进一步验证和伦理考虑,专家解释仍然至关重要.
科学领域:
- 血液学 血液学 血液学
- 医学诊断 医学诊断 医学诊断
- 人工智能的人工智能
背景情况:
- 对高效和准确诊断的需求不断增长,推动了在血液学中对AI的探索.
- 临床研究人员和实验室专家正在研究人工智能以优化诊断过程.
研究的目的:
- 审查当前在血液诊断中的AI应用.
- 总结AI整合在细胞形态学,流动细胞计,遗传学和血液静止.
主要方法:
- 对血液学中的AI现有文献的综述.
- 对人工智能在自动细胞分化,贫血诊断和急性白血病检测中的应用进行分析.
- 检查AI在流细胞计,基因组学和血液静止学中的作用.
主要成果:
- 人工智能有助于自动细胞分化,贫血诊断和急性白血病鉴定.
- 人工智能集成到流细胞计中可能会减少主观性;机器学习有助于基因组数据处理.
- 人工智能使血液静止质量控制和个性化参考范围的自动化成为可能.
结论:
- 人工智能在自动化和改进血液学诊断方面显示出重大前景.
- 挑战包括跨平台兼容性,验证和诸如偏见之类的伦理问题.
- 专家血液学家的解释对于最终诊断至关重要.
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