In recent years, spurred by the COVID-19 pandemic, our world has seen a profound shift towards digitalization, with digital twins emerging as a key innovation. These virtual replicas of physical objects or processes, capable of collecting real-time data, hold promise across various sectors, notably in healthcare. With the growing demand for precise diagnosis and personalized treatment, digital twins offer innovative solutions. Despite current challenges in data management and simulation, they are poised to revolutionize healthcare, providing high-resolution patient models for tailored treatment, leveraging Big Data, IoT, and AI technologies.

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Futuristic Development in Health Care Using Digital Twin Technology and AIoT

  • Shivani Yadao,
  • P. R. Anisha

摘要

In recent years, spurred by the COVID-19 pandemic, our world has seen a profound shift towards digitalization, with digital twins emerging as a key innovation. These virtual replicas of physical objects or processes, capable of collecting real-time data, hold promise across various sectors, notably in healthcare. With the growing demand for precise diagnosis and personalized treatment, digital twins offer innovative solutions. Despite current challenges in data management and simulation, they are poised to revolutionize healthcare, providing high-resolution patient models for tailored treatment, leveraging Big Data, IoT, and AI technologies.