Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance.

ABSTRACT: Currently, antimicrobial resistance (AMR) poses a major public health challenge. The emergence of AMR, which significantly threatens public health, is primarily due to the overuse of antimicrobial agents. This study explored the possibility that the ethical dilemmas inherent in the context of AMR may hinder the adoption of diagnostic artificial intelligence (AI). We conducted a web survey across eight countries/areas to assess public preference between two hypothetical AI types: one prioritizing individual health and the other considering the global AMR threat. Our results revealed a societal preference for the utilization of both AI types, reflecting a conflict between recognizing the significance of AMR and the desire for individualized treatment. Interestingly, the survey indicated sign

SUBMITTER: Ito H 

PROVIDER: S-EPMC12003763 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature