Artificial Intelligence-Assisted Nanosensors for Clinical Diagnostics: Current Advances and Future Prospects

The integration of artificial intelligence (AI) with various diagnostic nanosensors has opened up new horizons in clinics recently. AI technology offers enhanced sensitivity, accuracy, specificity, and real-time analysis for disease diagnostics. This review focuses on the recent advances in AI-assis...

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Bibliographic Details

Published in:	Biosensors
Main Author:	Shuo Yin
Format:	Article
Language:	English
Published:	MDPI AG 2025-10-01
Subjects:	nanosensors biosensors artificial intelligence clinical diagnostics disease biomarkers point-of-care testing
Online Access:	https://www.mdpi.com/2079-6374/15/10/656