Nanosensors are nanometric devices that detect physical parameters such as temperature, actigraphy, and pressure. They convert these detection signals into data that is appropriate for analysis. This type of monitoring is affordable, uninterrupted, and in real time. These attributes could be beneficially utilized in the emerging fields such as telemedicine enabling optimization of remote patient monitoring and efficient healthcare delivery. The key objective of this chapter highlights telemedicine by inculcating methodologies such as volatolomics-based telemedicine, wearables, and finally personalized medicines that enhance monitoring and delivery of patient care. The chapter also delves into the ways of enhancing efficiency of nanosensor-based telemedicine systems through the integration of image recognition and data analysis. This chapter will further address the limitations associated with the application of nanosensors in telemedicine as this crossover is still in its initial phases. Therefore, impending the requirement of more research to be applied in the real-world clinical settings to be validated accurately. Another limitation associated specifically with the remote setting is ensuring security of patient data. The chapter also analyzes and examines the future perspectives of nanosensor application in telemedicine that focuses on having a transformative impact in maximizing efficiency of healthcare delivery and patient outcome by integrating artificial intelligence and other emerging technologies.

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Nanosensor Technology in Telemedicine

  • Ayman Yusufkhan Pathan,
  • Haritha Pallela,
  • Parashuram Kallem

摘要

Nanosensors are nanometric devices that detect physical parameters such as temperature, actigraphy, and pressure. They convert these detection signals into data that is appropriate for analysis. This type of monitoring is affordable, uninterrupted, and in real time. These attributes could be beneficially utilized in the emerging fields such as telemedicine enabling optimization of remote patient monitoring and efficient healthcare delivery. The key objective of this chapter highlights telemedicine by inculcating methodologies such as volatolomics-based telemedicine, wearables, and finally personalized medicines that enhance monitoring and delivery of patient care. The chapter also delves into the ways of enhancing efficiency of nanosensor-based telemedicine systems through the integration of image recognition and data analysis. This chapter will further address the limitations associated with the application of nanosensors in telemedicine as this crossover is still in its initial phases. Therefore, impending the requirement of more research to be applied in the real-world clinical settings to be validated accurately. Another limitation associated specifically with the remote setting is ensuring security of patient data. The chapter also analyzes and examines the future perspectives of nanosensor application in telemedicine that focuses on having a transformative impact in maximizing efficiency of healthcare delivery and patient outcome by integrating artificial intelligence and other emerging technologies.