Harnessing computational tools of the digital era for enhanced infection control

IF 3.8 3区医学 Q2 MEDICAL INFORMATICS BMC Medical Informatics and Decision Making Pub Date : 2024-09-12 DOI:10.1186/s12911-024-02650-9

Francesco Branda

引用次数: 0

Abstract

This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resistance, emphasizing the critical role of interdisciplinary collaboration, ethical data practices, and integration of advanced computational tools in modern healthcare.

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利用数字时代的计算工具加强感染控制

本文探讨了人工智能、机器学习和大数据分析在彻底改变感染控制方面的潜力。它探讨了抗击传染病和抗菌药耐药性的挑战和创新方法，强调了跨学科合作、合乎道德的数据实践以及先进计算工具在现代医疗保健中的整合所发挥的关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Informatics and Decision Making 医学-医学：信息

CiteScore

7.20

自引率

5.70%

发文量

297

审稿时长

1 months

期刊介绍： BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.

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