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.
Frontiers in digital health
|August 25, 2025
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,
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.
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