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The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) in CT-based COVID-19 diagnosis represents a seismic shift in healthcare. Amid the pandemic, swift and accurate diagnosis is critical, and Computed Tomography (CT) imaging plays a pivotal role. AI algorithms automate the detection of subtle anomalies within CT scans, while IoT sensors capture real-time physiological data, providing a holistic view of patient health. This collaboration expedites diagnosis and enables personalized treatment strategies. Yet, it poses intricate challenges, including technical integration, data security, and privacy concerns. Striking the right balance between innovation and safeguarding patient information is paramount. In conclusion, the integration of AI and IoT in CT-based COVID-19 diagnosis redefines healthcare, offering transformative potential contingent upon addressing these challenges effectively.

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AI and IoT for CT-Based COVID-19 Diagnosis

  • 会议论文

  • 发表日期：

    2025年

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  • Jiaji Wang,
  • Shuihua Wang,
  • Juan Manuel Górriz,
  • Yudong Zhang

摘要

The fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) in CT-based COVID-19 diagnosis represents a seismic shift in healthcare. Amid the pandemic, swift and accurate diagnosis is critical, and Computed Tomography (CT) imaging plays a pivotal role. AI algorithms automate the detection of subtle anomalies within CT scans, while IoT sensors capture real-time physiological data, providing a holistic view of patient health. This collaboration expedites diagnosis and enables personalized treatment strategies. Yet, it poses intricate challenges, including technical integration, data security, and privacy concerns. Striking the right balance between innovation and safeguarding patient information is paramount. In conclusion, the integration of AI and IoT in CT-based COVID-19 diagnosis redefines healthcare, offering transformative potential contingent upon addressing these challenges effectively.