Litcius/Paper detail

Artificial Intelligence in battling infectious diseases: A transformative role

Chunhui Li, Guoguo Ye, Yinghan Jiang, Zhiming Wang, Haiyang Yu, Minghui Yang

2024Journal of Medical Virology17 citationsDOIOpen Access PDF

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.

Topics & Concepts

RealmInfectious disease (medical specialty)PandemicTransformative learningCoronavirus disease 2019 (COVID-19)HumanityContact tracingOutbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Engineering ethicsEnvironmental ethicsDiseaseMedicineVirologyPolitical scienceSociologyEngineeringLawPathologyPhilosophyPedagogyCOVID-19 epidemiological studiesViral Infections and Outbreaks ResearchCOVID-19 diagnosis using AI