Rapid outbreak monitoring to prevent widespread health crises
has become necessary for the emergence of numerous infectious
diseases, especially antimicrobial resistance. Effective disease control
relies on surveillance methods tailored to clinical approaches and
epidemiology, considering evolving pathogens, at-risk populations, and
ongoing mortality and morbidity data. Drug-resistant microorganisms
have surged, compromising treatment efficacy and threatening global
healthcare systems. Artificial Intelligence (AI) offers transformative
potential in healthcare and microbiology by improving diagnostic
accuracy, expediting drug discovery, and combating antimicrobial
resistance. AI’s rapid analysis of genetic sequences enhances pathogen
identification, while its predictive capabilities streamline drug
development, thus supporting global health efforts.
Artificial Intelligence in Disease Surveillance
The emergence of numerous infectious diseases in the twenty-first
century has made it essential to monitor outbreaks quickly before they
cost lives and spread throughout the community.