细菌感染控制中的人工智能:一个范围审查
Rasha Abu-El-Ruz1, Mohannad Natheef AbuHaweeleh2, Ahmad Hamdan2
1College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar.
Antibiotics (Basel, Switzerland)
|March 28, 2025
概括
人工智能 (AI) 在控制细菌感染方面表现有前途,主要是通过病原体识别和风险评估. 然而,像模型通用性和低收入国家有限的使用等挑战需要进一步关注.
科学领域:
- 医疗信息学 医疗信息学
- 传染病控制和控制传染病
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 在医疗保健中越来越多地用于诊断,治疗和疾病预防.
- 尽管人工智能得到广泛采用,但其在感染控制中的具体作用和有效性缺乏明确的临床共识.
- 细菌感染控制是一个关键领域,人工智能应用需要详细检查.
研究的目的:
- 在细菌感染控制中对人工智能应用进行范围审查.
- 描述人工智能在预防和控制细菌感染方面的现状.
- 确定该领域的常见AI技术,应用,优势和局限性.
主要方法:
- 采用了基于Arksey和O'Malley框架的范围审查方法.
- 在PubMed,Embase和Web of Science数据库中进行了全面的文献搜索.
- 来自54项符合条件的研究的数据被提取,映射并合成为主题范围.
主要成果:
- 在感染控制方面,大多数人工智能应用来自高收入国家,特别是美国.
- 机器学习是最常用的AI类型,病原体识别和感染风险评估是主要目标.
- 预测建模和风险评估是主要报告的优势,而模型通用性是一个常见的局限性.
结论:
- 对细菌感染控制的人工智能应用主要来自高收入国家,这突显了低收入国家利用的差距.
- 需要进一步投资开发和验证人工智能模型,这些模型已被证明对感染控制有效.
- 解决模型通用性等挑战对于最大限度地提高人工智能对细菌感染预防和控制的影响至关重要.
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