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在人工智能年龄中检测分裂细胞.

Zeng Zhang1,2, Su Yang1,2, Xiuhong Wang1,2

  • 1Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.

International journal of laboratory hematology
|March 13, 2024
PubMed
概括
此摘要是机器生成的。

早期检测血清细胞 (分裂的红细胞) 对于诊断和治疗微血管病的疾病至关重要. 人工智能 (AI) 正在增强自动化细胞检测,提高实验室诊断的准确性和效率.

关键词:
人工智能的人工智能是人工智能.临床疾病是临床疾病.在实验室检测检测.这种细胞是分裂细胞.

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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
  • 人工智能在医学中的应用

背景情况:

  • 血清细胞是由于机械红细胞损伤而导致的碎片化的红细胞,通常与血栓性微血管病变有关.
  • 早期实验室识别schistocytes对于及时诊断和改善TTP和HUS等疾病的预后至关重要.
  • 自动化血液学和形态学分析仪的进步显著提高了测试的准确性和效率.

研究的目的:

  • 审查细胞实验室检测方法的进展情况.
  • 探索细胞在各种疾病中的临床意义.
  • 总结人工智能 (AI) 在自动化细胞检测方面的进步和挑战.

主要方法:

  • 审查关于实验室石细胞检测技术的当前文献.
  • 分析机器学习 (ML) 和人工智能在增强自动检测中的作用.
  • 讨论分裂细胞存在与疾病状态之间的临床相关性.

主要成果:

  • 人工智能和机器学习显著提高了自动化细胞检测的准确性和效率.
  • 自动化分析仪为识别碎片化的红细胞提供了增强的能力.
  • 人工智能集成既促进了工作流程,也为实验室诊断带来了新的挑战.

结论:

  • 人工智能具有巨大的潜力,可以在周围血液分析中彻底改变细胞检测.
  • 解决人工智能实施当前的挑战是最大限度地发挥它的好处的关键.
  • 人工智能技术的持续发展有望进一步改善微血管病的诊断能力.