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Artificial Intelligence in battling infectious diseases: A transformative role

  • Chunhui Li
  • , Guoguo Ye
  • , Yinghan Jiang
  • , Zhiming Wang
  • , Haiyang Yu
  • , Minghui Yang*
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Second Hospital Affiliated to Southern University of Science and Technology
  • Ltd.

Research output: Contribution to journalReview articlepeer-review

Abstract

It is widely acknowledged that infectious diseases have wrought immense havoc on human society, being regarded as adversaries from which humanity cannot elude. In recent years, the advancement of Artificial Intelligence (AI) technology has ushered in a revolutionary era in the realm of infectious disease prevention and control. This evolution encompasses early warning of outbreaks, contact tracing, infection diagnosis, drug discovery, and the facilitation of drug design, alongside other facets of epidemic management. This article presents an overview of the utilization of AI systems in the field of infectious diseases, with a specific focus on their role during the COVID-19 pandemic. The article also highlights the contemporary challenges that AI confronts within this domain and posits strategies for their mitigation. There exists an imperative to further harness the potential applications of AI across multiple domains to augment its capacity in effectively addressing future disease outbreaks.

Original languageEnglish
Article numbere29355
JournalJournal of Medical Virology
Volume96
Issue number1
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Artificial Intelligence (AI)
  • COVID-19
  • Infectious diseases
  • PHEICs

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