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A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
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人工智能在病中的应用

Ahmed Adel Elsabagh1, Mohamed Elhadary1, Basel Elsayed1

  • 1College of Medicine, QU Health, Qatar University, Doha, Qatar.

Blood reviews
|June 24, 2023
PubMed
概括

人工智能 (AI) 提供了通过改善早期诊断,风险分层和个性化治疗来管理状细胞疾病 (SCD) 的新方法. 这篇评论探讨了人工智能.

关键词:
人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.血球蛋白病变 血球蛋白病变机器学习 机器学习状细胞是一个状细胞.

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科学领域:

  • 医疗信息学 医疗信息学
  • 计算生物学 计算生物学
  • 血液学 血液学 血液学

背景情况:

  • 人工智能 (AI) 越来越多地融入医学科学和临床实践.
  • 人工智能应用在研究,诊断和治疗各种病理方面正在扩大.
  • 状细胞疾病 (SCD) 管理可以从人工智能进步中受益.

研究的目的:

  • 审查已建立和新的AI应用程序,以加强状细胞疾病 (SCD) 管理.
  • 探索AI在诊断SCD及其并发症中的作用.
  • 评估AI在SCD风险分层和个性化患者护理方面的潜力.

主要方法:

  • 在SCD中对现有和新兴AI应用的文献综述.
  • 分析AI对诊断准确度和SCD并发症早期检测的影响.
  • 评估人工智能对风险分层和个性化治疗策略的贡献.

主要成果:

  • 人工智能有助于改善状细胞病 (SCD) 患者的风险分层.
  • 人工智能有助于早期诊断SCD并发症,使及时干预成为可能.
  • 人工智能工具显示出开发SCD个性化管理计划的潜力.

结论:

  • 人工智能 (AI) 为推进状细胞病 (SCD) 护理提供了重大机会.
  • 人工智能可以增强早期检测,风险评估和个性化治疗方法.
  • 需要进一步的研究才能充分认识到AI在SCD管理中的好处并解决AI的缺点.