Strategies in using artificial intelligence to combat antimicrobial resistance.
Andrea Zovi, Giacomo Polito, Andrea Caprodossi, Michela Sabbatucci, Rosario Sorrentino, Antonio Vitiello
Author Information
Andrea Zovi: School of Pharmacy, University of Camerino (Macerata), Italy - Department of Prevention, Research and Health Emergencies, Italian Ministry of Health, Rome, Italy.
Giacomo Polito: Pharmacy Unit, Pharmacy Department, Policlinico Umberto I, Rome, Italy.
Andrea Caprodossi: Regional Health Agency Marche, Ancona, Italy.
Michela Sabbatucci: Department Infectious Diseases, Italian National Institute of Health, Rome, Italy.
Rosario Sorrentino: Department of Programming, Medical Devices, Drugs and Policies in favour of the National Health Service, Italian Ministry of Health, Rome, Italy.
Antonio Vitiello: Department of Prevention, Research and Health Emergencies, Italian Ministry of Health, Rome, Italy.
Infectious diseases caused by pathogens resistant to antimicrobial treatments, defined as antimicrobial resistance (AMR), are a serious global health crisis, considered among the main threats to global public health according to the World Health Organization. New forms of advanced information technology are receiving global consideration as a help in countering this health threat, like Artificial Intelligence (AI). Applications of AI in healthcare could help in reducing the time needed to discover new antimicrobial drugs, improving the accuracy and timing of surveillance, diagnosis, and treatment, while reducing expenses. AI is now proposed as a valuable and potential help for different sectors of the health world. In this short review, we will consider the recent evidence supporting the important role that AI can play in countering the phenomenon of AMR.
