There are more connected devices in the world today than humans. The internet of things (IoT) facilitates seamless communication between people, processes, and devices. However, managing the growing data output efficiently is challenging. Deep Learning, combined with IoT, plays a crucial role in addressing this issue. This article provides an overview of the evolution of Iot and Deep Learning technologies and their transformative impact in healthcare. Firstly, we begin by a brief overview of the IoT history, highlighting its features and application in healthcare monitoring. Next, we will explore the evolution of Deep Learning techniques and the primary reasons why it is an ideal choice for enhancing Internet of Things application. Finally, we discuss the integration of these technologies supported by case studies and examples demonstrating the synergy between IoT and Deep Learning in real world healthcare scenarios.

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The Evolution of IoT and Deep Learning in Healthcare

  • Ayoub Aberchoum,
  • Khadija Louzaoui,
  • Khalid Benlhachmi

摘要

There are more connected devices in the world today than humans. The internet of things (IoT) facilitates seamless communication between people, processes, and devices. However, managing the growing data output efficiently is challenging. Deep Learning, combined with IoT, plays a crucial role in addressing this issue. This article provides an overview of the evolution of Iot and Deep Learning technologies and their transformative impact in healthcare. Firstly, we begin by a brief overview of the IoT history, highlighting its features and application in healthcare monitoring. Next, we will explore the evolution of Deep Learning techniques and the primary reasons why it is an ideal choice for enhancing Internet of Things application. Finally, we discuss the integration of these technologies supported by case studies and examples demonstrating the synergy between IoT and Deep Learning in real world healthcare scenarios.