人工智能集成的光学生物传感器的新兴趋势,用于临床诊断:当前状态和未来前景

Sathishkumar Subburaj1,2, Conghui Liu1, Tailin Xu1

  • 1Institute for Advanced Study (IAS), Shenzhen University, Shenzhen, Guangdong, 518060, China. conghuiliu@szu.edu.cn.

Chemical communications (Cambridge, England)
|November 7, 2025
PubMed
概括

人工智能 (AI) 增强了光学生物传感器,用于快速点诊断 (POCD). 这种整合提高了疾病检测的敏感性,特异性和未来医疗保健的实时决策.

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