Artificial Intelligence and IoT Technologies Show Promise in Managing and Diagnosing COVID-19

Strategic Insights -

Researchers from the University of California have conducted a comprehensive study on the use of artificial intelligence, machine learning, and Internet of Things (IoT) technologies in managing and diagnosing COVID-19. The novel coronavirus has caused unprecedented challenges to healthcare systems worldwide, particularly for those with weakened immune systems. The study aims to anatomize the impacts of the latest COVID-19 virus on patients using computational intelligence. According to the research, machine learning and artificial intelligence have shown tremendous promise in the healthcare industry, particularly in early identification, risk assessment, and therapy optimization.

Key Takeaways:

  • The study utilized machine learning, artificial intelligence, and IoT-enabled technologies to manage, diagnose, and predict COVID-19.
  • These tools can examine big datasets to find patterns and trends that might not be noticeable to human observers.
  • IoT-enabled gadgets, such as wearable sensors and remote monitoring systems, can gather data in real-time on environmental variables, symptoms, and vital signs.
  • The study concluded that these gadgets can provide medical professionals with important insights into the state of their patients' health and the course of their diseases.
  • The research suggests that machine learning and artificial intelligence can play a vital role in competing for safety considerations of reducing SARS-CoV-2, COVID-19, and exposure with the assistance of smart technology.
  • The study highlights the need for further research on the impact of COVID-19 on patients globally.

Statistics:

  • By 2024, the COVID-19 virus has already caused over 7 million deaths.
  • The COVID-19 pandemic has posed unprecedented challenges to healthcare systems around the globe, particularly for those with weakened immune systems.
  • The study utilizes machine learning, artificial intelligence, and IoT-enabled technologies to manage, diagnose, and predict COVID-19.
  • 2,006 patients with COVID-19 were analyzed using machine learning and artificial intelligence tools.

Sources:

  • Schematized study for tackling COVID-19 with Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT). Intelligent Pharmacy, 2024,2(6):756-767. (DOI: 10.1016/j.ipha.2024.04.003)
  • NewsRx. New Artificial Intelligence Research Reported from University of California [Schematized study for tackling COVID-19 with Machine Learning (ML), Artificial Intelligence (AI), and Internet of Things (IoT)]. Medical Letter on the CDC & FDA. November 2, 2025; p 359.