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相关概念视频

Blood Transfusion01:15

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Blood transfusion is a critical medical procedure that saves lives and treats various medical conditions. It involves transferring blood from a donor to a recipient. This process requires a thorough understanding of the ABO blood group system and its associated antigens and antibodies.
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A blood transfusion is a medical procedure used to replace blood lost due to injury, surgery, or to treat conditions such as anemia or cancer. During a transfusion, donor blood is...
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Blood transfusion is a therapeutic measure to restore the blood volume after extensive blood loss due to an accident or a medical procedure. Blood transfusion involves drawing a certain amount of blood from a suitable donor and infusing it into the recipient.
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科学领域:

  • 输血医学 输血医学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 输血医学面临着血液短缺和成本上升等挑战.
  • 人工智能 (AI) 和机器学习 (ML) 为改善医疗保健结果和系统弹性提供了潜在的解决方案.

研究的目的:

  • 审查和评估应用AI和ML在输血医学中的研究.
  • 确定AI/ML集成在这个领域的趋势,挑战和未来方向.

主要方法:

  • 一个结构化的叙事审查来自PubMed和Scopus的565篇出版物 (2018年1月至2025年4月).
  • 纳入标准侧重于输血管理和决策支持中的AI/ML技术,通过电子健康记录或专家审查进行评估.
  • 对四项代表监督,无监督,强化学习和生成学习的示例研究进行了批判性评估.

主要成果:

  • 转向先进的计算方法,以提高预测准确性和资源优化.
  • 确定的主题包括平衡模型复杂性与可解释性,数据质量影响和实施障碍.
  • 研究表明AI/ML有潜力支持临床决策.

结论:

  • 实现AI/ML在输血医学中的全部潜力需要解决隐私,基础设施和实际实用性的问题.
  • 可扩展,临床级,透明的解决方案对于成功的整合至关重要.
  • 未来的努力必须集中在克服实施障碍以实现更广泛的采用.