Strategies in using artificial intelligence to combat antimicrobial resistance

Area of Science:

• Medical Informatics
• Infectious Diseases
• Artificial Intelligence in Healthcare

Background:

• Antimicrobial resistance (AMR) poses a significant global health threat, identified by the World Health Organization as a major public health concern.
• The escalating crisis necessitates innovative strategies to combat drug-resistant pathogens.
• Advanced information technologies, particularly Artificial Intelligence (AI), are emerging as potential tools to address AMR.

Purpose of the Study:

• To review the current evidence on the role of Artificial Intelligence (AI) in combating antimicrobial resistance (AMR).
• To explore how AI applications can support various aspects of healthcare in the fight against AMR.

Main Methods:

• Literature review of recent evidence on AI applications in healthcare related to AMR.
• Analysis of AI's potential impact on antimicrobial drug discovery, surveillance, diagnosis, and treatment.

Main Results:

• AI can significantly reduce the time and cost associated with discovering new antimicrobial drugs.
• AI enhances the accuracy and timeliness of disease surveillance, diagnosis, and treatment strategies for AMR.
• AI demonstrates potential across multiple sectors of healthcare to mitigate the AMR crisis.

Conclusions:

• Artificial Intelligence (AI) presents a valuable and potent resource in the global effort to counter antimicrobial resistance (AMR).
• The integration of AI into healthcare systems is crucial for developing effective countermeasures against drug-resistant infections.
• Continued research and application of AI are essential for managing and reducing the impact of AMR worldwide.