在儿科过敏研究中的人工智能
Daniil Lisik1, Rani Basna2,3, Tai Dinh4,5
1Krefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Box 424, 405 30, Gothenburg, Sweden. daniil.lisik@gmail.com.
European journal of pediatrics
|December 20, 2024
概括
人工智能 (AI) 为了解复杂的儿科过敏提供了强大的工具. 本综述指导研究人员将AI应用于过敏数据,以获得更好的临床见解和结果.
科学领域:
- 儿科过敏研究的研究.
- 计算生物学是一种计算生物学.
- 医学中的数据科学.
背景情况:
- 儿科过敏如亚托邦性皮肤炎,食物过敏,过敏性鼻炎和喘是常见的,异质的,并与各种因素相关.
- 人工智能 (AI) 正在迅速发展,并被整合到医学研究中.
研究的目的:
- 为在儿科过敏中进行基于人工智能的研究提供实用指南.
- 讨论人工智能在儿科过敏研究中的现状,影响和未来前景.
主要方法:
- 该评论介绍了基本的AI概念和技术.
- 它概述了人工智能分析管道的蓝图,从变量选择到结果解释.
- 它涵盖了人工智能实施中常见的挑战和解决方案.
主要成果:
- 当前在儿科过敏中的人工智能应用通常使用简单的数据,缺乏方法论严谨性.
- 需要先进的算法和更丰富的数据源 (例如,多omics,非结构化数据).
结论:
- 人工智能具有改变儿科过敏研究的巨大潜力.
- 在全面的数据集上对先进的人工智能技术的方法上稳健的实施对于实现这一潜力至关重要.
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