Paper Details

Name: Shruti Sharma
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 565-572
DOI: https://doi.org/10.5281/zenodo.19064819

ABSTRACT
The union of artificial intelligence (AI) and nan- otechnology is transforming contemporary healthcare by allowingreal-time, accurate, and individualized therapeutic interventions. AI-enhanced nanoscale sensors can track physiological parame- ters at the molecular level, offering real-time data that facilitates dynamic treatment decisions. This paper discusses the design and integration of AI-based nanosensors in medical implants and wearable systems with a focus on their application in adaptive therapeutic responses. Applications to chronic disease manage- ment, early detection, and telemedicine-based remote health monitoring are explored, in addition to challenges involving data protection, energy consumption, and regulatory environments. By utilizing machine learning, predictive analysis, and real-time feedback mechanisms, AI-enabled nanosensors have the ability to revolutionize patient care as a more anticipatory and reactive process.

Index Terms—Artificial intelligence, nanoscale sensors, medi- cal implants, real-time health monitoring, adaptive therapeutic responses, machine learning, data analytics, precision medicine, personalized care, implantable devices.