Fanelli Umberto, Pappalardo Marco, Chinè Vincenzo, Gismondi Pierpacifico, Neglia Cosimo, Argentiero Alberto, Calderaro Adriana, Prati Andrea, Esposito Susanna
Pediatric Clinic, Pietro Barilla Children's Hospital, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Microbiology and Virology Unit, Department of Medicine and Surgery, University of Parma, 43126 Parma, Italy.
Antibiotics (Basel). 2020 Nov 1;9(11):767. doi: 10.3390/antibiotics9110767.
Artificial intelligence (AI) is a field of science and engineering concerned with the computational understanding of what is commonly called intelligent behavior. AI is extremely useful in many human activities including medicine. The aim of our narrative review is to show the potential role of AI in fighting antimicrobial resistance in pediatric patients. We searched for PubMed articles published from April 2010 to April 2020 containing the keywords "artificial intelligence", "machine learning", "antimicrobial resistance", "antimicrobial stewardship", "pediatric", and "children", and we described the different strategies for the application of AI in these fields. Literature analysis showed that the applications of AI in health care are potentially endless, contributing to a reduction in the development time of new antimicrobial agents, greater diagnostic and therapeutic appropriateness, and, simultaneously, a reduction in costs. Most of the proposed AI solutions for medicine are not intended to replace the doctor's opinion or expertise, but to provide a useful tool for easing their work. Considering pediatric infectious diseases, AI could play a primary role in fighting antibiotic resistance. In the pediatric field, a greater willingness to invest in this field could help antimicrobial stewardship reach levels of effectiveness that were unthinkable a few years ago.
人工智能(AI)是一个科学与工程领域,专注于对通常所说的智能行为进行计算理解。人工智能在包括医学在内的许多人类活动中都极为有用。我们这篇叙述性综述的目的是展示人工智能在对抗儿科患者抗菌药物耐药性方面的潜在作用。我们在PubMed上搜索了2010年4月至2020年4月发表的包含关键词“人工智能”“机器学习”“抗菌药物耐药性”“抗菌药物管理”“儿科”和“儿童”的文章,并描述了人工智能在这些领域应用的不同策略。文献分析表明,人工智能在医疗保健中的应用潜力无穷,有助于缩短新型抗菌药物的研发时间,提高诊断和治疗的合理性,同时降低成本。大多数为医学提出的人工智能解决方案并非旨在取代医生的意见或专业知识,而是为减轻他们的工作负担提供有用的工具。考虑到儿科传染病,人工智能在对抗抗生素耐药性方面可发挥主要作用。在儿科领域,加大对该领域的投资意愿有助于抗菌药物管理达到几年前难以想象的有效水平。