人工智能在过敏中的现状和前景
Merlijn van Breugel1,2,3, Rudolf S N Fehrmann4, Marnix Bügel3
1Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Allergy
|August 16, 2023
概括
人工智能 (AI) 在过敏研究中提供了新的可能性,但临床应用有限. 这篇评论探讨了人工智能概念,数据偏差等挑战,以及过敏精准医学的未来方向.
科学领域:
- 医疗信息学 医疗信息学
- 过敏和免疫学 过敏和免疫学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在医学领域迅速发展,使新的研究和数据分析成为可能.
- 人工智能在过敏中的临床应用仍然很少,很少有研究超越概念验证.
- 挑战包括数据的可用性,偏见,以及需要强大的AI实践.
研究的目的:
- 提供与过敏相关的AI概念的基本理解.
- 批判性地讨论将人工智能应用于过敏研究的局限性和挑战.
- 概述AI在过敏中的框架和案例,促进临床价值.
主要方法:
- 人工智能和机器学习在过敏中的应用的叙事审查.
- 为结构化人工智能应用开发概念框架.
- 讨论AI实施的案例,局限性和最佳实践.
主要成果:
- 对过敏的AI应用主要涉及监督学习和无监督集群用于诊断和亚型.
- 确定的主要挑战包括数据稀缺性,数据偏差以及需要有效的AI实施策略.
- 讨论了人工智能良好实践的指导方针和增加临床影响的未来前景.
结论:
- 人工智能具有很大的潜力,可以促进我们对过敏疾病机制的理解.
- 解决数据和实施方面的挑战对于实现人工智能对过敏精准医学的贡献至关重要.
- 进一步开发和采用人工智能实践可以提高临床决策和过敏患者的结果.
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