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数字双胞胎用于个性化医疗开发

Saniya Y Saratkar1, Meher Langote1, Praveen Kumar2

  • 1Department of Artificial Intelligence and Data Science, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research, Wardha, India.

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概括

数字双胞胎 (DTs) 使用人工智能和物联网为先进的医疗保健创建个性化的患者复制品. 这项技术彻底改变了诊断和治疗,

关键词:
人工智能数字双胞胎医疗服务物联网 (物联网)个性化医疗

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科学领域:

  • 医疗保健技术
  • 数字健康
  • 个性化医疗

背景情况:

  • 数字双胞胎 (DT) 技术是工业4.0的创新,它集成了人工智能,物联网和机器学习.
  • 用于先进的医疗应用, 创建动态的数据驱动患者复制品.

研究的目的:

  • 审查医疗保健中数据技术的演变,架构和技术.
  • 在个性化医疗 (PM) 中探索DTs的变革性应用.

主要方法:

  • 对医疗保健中数字双胞胎技术的现有文献进行审查.
  • 对人工智能,物联网和机器学习集成进行分析,以创建患者复制品.
  • 探索疾病模拟,诊断和治疗优化的应用.

主要成果:

  • 提供实时患者监测和预测分析.
  • 使用遗传和生活方式数据优化个性化治疗计划.
  • 通过DT,可以更好地模拟疾病的进展和诊断.

结论:

  • 医疗技术的整合为提高医疗保健成果和效率提供了巨大的潜力.
  • 应对数据隐私,互操作性和道德等挑战至关重要.
  • 未来人工智能,云计算和区块链技术的发展将推动精准医疗.