AIMC Topic: Antimicrobial Stewardship
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Leveraging Hospital Information Data for Effective Antibiotic Stewardship.
Journal of Korean medical science
May 26, 2025
Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship programs in healthcare settings. By integrating information technology with healthcare services, hospitals can systematically collect, store, and utilize med...
Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review.
Artificial intelligence in medicine
Feb 12, 2025
Antimicrobial stewardship programs (ASPs) are essential in optimizing the use of antibiotics to address the global concern of antimicrobial resistance (AMR). Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools for e...
Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy.
European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology
Jan 6, 2025
The increasing threat of antimicrobial resistance has prompted a need for more effective antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning (ML) tools have emerged as potential solutions to enhance decision-ma...
The role of artificial intelligence in the diagnosis, imaging, and treatment of thoracic empyema.
Current opinion in pulmonary medicine
Dec 23, 2024
PURPOSE OF REVIEW: The management of thoracic empyema is often complicated by diagnostic delays, recurrence, treatment failures and infections with antibiotic resistant bacteria. The emergence of artificial intelligence (AI) in healthcare, particular...
External validation of predictive models for antibiotic susceptibility of urine culture.
BJU international
Dec 22, 2024
OBJECTIVE: To develop, externally validate, and test a series of computer algorithms to accurately predict antibiotic susceptibility test (AST) results at the time of clinical diagnosis, up to 3 days before standard urine culture results become avail...
MAPRS: An intelligent approach for post-prescription review based on multi-label learning.
Artificial intelligence in medicine
Aug 30, 2024
Antimicrobial resistance (AMR) is a major threat to public health worldwide. It is a promising way to improve appropriate prescription by the review and stewardship of antimicrobials, and Post-Prescription Review (PPR) is currently the main tool used...
Retrospective validation study of a machine learning-based software for empirical and organism-targeted antibiotic therapy selection.
Antimicrobial agents and chemotherapy
Aug 28, 2024
UNLABELLED: Errors in antibiotic prescriptions are frequent, often resulting from the inadequate coverage of the infection-causative microorganism. The efficacy of iAST, a machine-learning-based software offering empirical and organism-targeted antib...
Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control.
Current opinion in infectious diseases
May 31, 2024
PURPOSE OF REVIEW: This review examines the current state and future prospects of machine learning (ML) in infection prevention and control (IPC) and antimicrobial stewardship (ASP), highlighting its potential to transform healthcare practices by enh...
Machine-learning-based risk assessment tool to rule out empirical use of ESBL-targeted therapy in endemic areas.
The Journal of hospital infection
Apr 27, 2024
BACKGROUND: Antimicrobial stewardship focuses on identifying patients who require extended-spectrum beta-lactamase (ESBL)-targeted therapy. 'Rule-in' tools have been researched extensively in areas of low endemicity; however, such tools are inadequat...
Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges.
Clinical therapeutics
Mar 21, 2024
There is growing interest in exploiting the advances in artificial intelligence and machine learning (ML) for improving and monitoring antimicrobial prescriptions in line with antimicrobial stewardship principles. Against this background, the concept...
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