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人工智能驱动的纳米传感器平台用于非侵入性呼吸学诊断
Vishal Chaudhary1,2, Pradeep Bhadola1
1Centre for Theoretical Physics and Natural Philosophy, Nakhonsawan Studiorum for Advanced Studies, Mahidol University, Nakhonsawan, 60130, Thailand.
Nanotechnology, science and applications
|December 26, 2025
概括
用于呼吸学诊断的AI驱动的纳米传感器提供快速,非侵入性疾病检测. 这些先进的平台在各种疾病中显示出高精度,为下一代医疗保健铺平了道路.
科学领域:
- 生物医学工程 生物医学工程
- 纳米技术纳米技术
- 人工智能的人工智能
背景情况:
- 传统的诊断方法在成本,侵入性和可访问性方面存在局限性.
- 需要快速,便携式和非侵入性健康评估工具.
- 人工智能驱动的呼吸学诊断 (AND) 平台纳米传感器提供了一个新的解决方案.
研究的目的:
- 审查 AND 平台在疾病诊断方面的进展情况.
- 确定阻碍商业化发展的挑战,并提出解决方案.
- 将 AND 平台转化为临床实践的路径概述.
主要方法:
- 敏感纳米材料与机器智能的整合,用于呼吸生物标志物检测.
- 在各种疾病中应用AND平台,包括癌症,喘,糖尿病和功能衰竭.
- 开发可穿戴系统,智能口罩和多式联络实验室系统.
主要成果:
- 对于诸如肺癌等疾病,其确诊准确度高 (90-95%).
- 生物标志物的检测极限达到每十亿分量 (ppb).
- 扩展应用到预测分析,个性化医学和人机交互.
结论:
- AND平台代表了医疗保健诊断的变革性方法.
- 解决数据标准化,传感器选择性,伦理AI和临床验证方面的挑战至关重要.
- 需要像可解释的人工智能和大规模临床呼吸数据库这样的解决方案来进行临床翻译.
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