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Infectious diseasesSensors, especiallyArtificial Intelligence (AI) theBiomedical onesHealthcare that are antibiotic-resistant, pose a serious threat to global health. Currently, bacterial contamination is detected using conventional culturing techniques, which are limited by the processing time and on-site availability. Thus, real-time and continuous monitoring of pathogen levels is necessary to analyze information that could assist prevention and containment of outbreaks. Nanotechnology-based smart sensorsSensors present new avenues for rapid detection of such pathogens at the patient’s point of care. Hence, nanomaterial-based composites play a vital role, especially with high K dielectricsDielectrics, in bacterial sensing due to their unique characteristics due to reduced dimensions. Such characteristics in conjunction with the fourth industrial revolution, viz. artificial intelligence (AIArtificial Intelligence (AI)), have led to the development and application of health monitoring sensorsSensors by digitalization and intelligence, which will help identify the sites and sources of disease outbreaks and the next variant of novel coronavirus. The addition of piezoelectricPiezoelectric materials to composites provides energy harvestingEnergy harvesting capability for stand-alone and monitoring at remote locations. These sensorsSensors have wide-ranging applications in medical care, personal health management, elderly care, sports, and other fields, providing convenient and real-time healthcareHealthcare services. However, these sensorsSensors have limitations such as noise, drift, difficulty in data extraction, and lack of feedback or control signals. AIArtificial Intelligence (AI) provides powerful tools and algorithms for data processing and analysis, enabling intelligent health monitoring, and achieving high-precision predictions and decisions. Integrating the Internet of ThingsInternet of things (IoT), AIArtificial Intelligence (AI), and health monitoring sensorsSensors, will establish a closed-loop system with real-time monitoring functionality, data collection, online analysis, diagnosis, and treatment recommendations. We provide an overview of the development of sensorSensors platforms using exponential technologies for healthcareHealthcare. We further introduce the advances in wearable sensorsWearable sensors for cardiovascular care, nerve signal acquisition, neurotransmitter monitoring; and precise therapy. A fusion of AIArtificial Intelligence (AI), IoTs, and next-generation sensorsSensors will provide more intelligent, convenient, and secure services for healthcareHealthcare and biomedical applicationsBiomedical application.

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Next-Generation Sensors Using Artificial Intelligence as Enabling Technologies for Biomedical and Healthcare Applications

  • 会议论文

  • 发表日期：

    2025年

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  • Samina Noorali,
  • James C. Baldwin,
  • Ashok Vaseashta

摘要

Infectious diseasesSensors, especiallyArtificial Intelligence (AI) theBiomedical onesHealthcare that are antibiotic-resistant, pose a serious threat to global health. Currently, bacterial contamination is detected using conventional culturing techniques, which are limited by the processing time and on-site availability. Thus, real-time and continuous monitoring of pathogen levels is necessary to analyze information that could assist prevention and containment of outbreaks. Nanotechnology-based smart sensorsSensors present new avenues for rapid detection of such pathogens at the patient’s point of care. Hence, nanomaterial-based composites play a vital role, especially with high K dielectricsDielectrics, in bacterial sensing due to their unique characteristics due to reduced dimensions. Such characteristics in conjunction with the fourth industrial revolution, viz. artificial intelligence (AIArtificial Intelligence (AI)), have led to the development and application of health monitoring sensorsSensors by digitalization and intelligence, which will help identify the sites and sources of disease outbreaks and the next variant of novel coronavirus. The addition of piezoelectricPiezoelectric materials to composites provides energy harvestingEnergy harvesting capability for stand-alone and monitoring at remote locations. These sensorsSensors have wide-ranging applications in medical care, personal health management, elderly care, sports, and other fields, providing convenient and real-time healthcareHealthcare services. However, these sensorsSensors have limitations such as noise, drift, difficulty in data extraction, and lack of feedback or control signals. AIArtificial Intelligence (AI) provides powerful tools and algorithms for data processing and analysis, enabling intelligent health monitoring, and achieving high-precision predictions and decisions. Integrating the Internet of ThingsInternet of things (IoT), AIArtificial Intelligence (AI), and health monitoring sensorsSensors, will establish a closed-loop system with real-time monitoring functionality, data collection, online analysis, diagnosis, and treatment recommendations. We provide an overview of the development of sensorSensors platforms using exponential technologies for healthcareHealthcare. We further introduce the advances in wearable sensorsWearable sensors for cardiovascular care, nerve signal acquisition, neurotransmitter monitoring; and precise therapy. A fusion of AIArtificial Intelligence (AI), IoTs, and next-generation sensorsSensors will provide more intelligent, convenient, and secure services for healthcareHealthcare and biomedical applicationsBiomedical application.