BACKGROUND
Infectious Diseases require rapid decisions based on heterogeneous and evolving clinical data. At the same time, the shortage of infectious diseases specialists continues to widen the gap between demand for expertise and its availability. Artificial intelligence (AI) has emerged as a potential support tool,...
Fabio Borgonovo, F. Pennisi, Francesco Petri et al.· Clinical Microbiology and In...· 1 citation
A practical AI platforms that aid clinicians, researchers, and policymakers with infectious disease surveillance, prediction, and infection control are presented and the dual-use dilemma of AI is explored, addressing risks related to biothreat creation and misinformation dissemination alongside key ethical issues inclu...
Seyed Mohamamd Amin Alavi, Fabio Borgonovo, Farzad Pourghazi et al.· Clinical Microbiology and In...· 0 citations
BACKGROUND
Antimicrobial resistance (AMR) continues to threaten modern infectious diseases practice. Antimicrobial stewardship programs (ASPs) remain central to optimizing antimicrobial use, yet stewardship has become increasingly challenging because of rising clinical complexity, expanding data sources, and persistent...
Takahiro Matsuo, M. Nigo, Fabio Borgonovo et al.· Clinical Microbiology and In...· 1 citation
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