Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Role of Artificial Intelligence in Transforming Antibiotic Stewardship
0
Zitationen
5
Autoren
2026
Jahr
Abstract
Antibiotic stewardship programs (ASPs) seek to enhance patient outcomes by maximising the use of antibiotics in the fight against antimicrobial resistance (AMR). Artificial intelligence (AI) developments in recent years have showed significant potential for improving these applications. Artificial intelligence (AI) technologies, such as machine learning (ML) and natural language processing (NLP), are revolutionising antibiotic stewardship through enhanced diagnostic precision, customised treatment plans, resistance pattern prediction, and resource allocation optimisation. The article examines the major contributions of AI to antimicrobial stewardship, assesses the state of present applications, and talks about obstacles and future directions. Because AI can analyse enormous datasets, combine data from various sources, and produce actionable insights, it is a critical weapon in the fight against antimicrobial resistance (AMR).
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.764 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.674 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.234 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.898 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.