过敏和免疫学的人工智能:最近的发展,实施挑战,以及通往临床影响的道路
Merlijn van Breugel1, Matt Greenhawt2, Ibon Eguiluz-Gracia3
1Department of Pediatric Pulmonology and Pediatric Allergology, Beatrix Children's Hospital, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Ditto Care, Rotterdam, The Netherlands.
The Journal of allergy and clinical immunology
|September 9, 2025
概括
人工智能 (AI) 在医学中提供了变革性的潜力,但其在过敏和免疫学中的临床应用滞后. 本次审查提出了一份路线图,以弥合人工智能研究与实际过敏和免疫学应用之间的差距.
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) 正在快速推进医疗应用,但在过敏和免疫学中的临床实施远远落后于其他专业.
- 尽管有超过1000个FDA批准的AI医疗设备,但没有一个专门用于过敏和免疫学,部分原因是该领域对成像的使用有限.
研究的目的:
- 审查最近的人工智能发展,包括大型语言模型和人工智能代理,以评估它们在过敏和免疫学实践中的适用性.
- 分析当前和潜在的人工智能应用,确定临床价值,并检查特定于过敏和免疫学的实施障碍.
主要方法:
- 这篇叙事综述考察了人工智能的最新进展,例如大型语言模型和人工智能代理.
- 它分析了这些AI发展对过敏和免疫学实践的适用性,考虑了临床价值和实施挑战.
主要成果:
- 人工智能在过敏和免疫学的临床实施受到包括数据隐私,偏见,可靠性和监管问题在内的因素的阻碍.
- 过敏疾病的独特复杂性放大了这些实施障碍,阻止了人工智能研究转化为临床实践.
结论:
- 提出了一个6点路线图,以推进人工智能在过敏和免疫学,专注于有影响力的应用,基准,治理,运营,可信的人工智能采用和生命周期管理.
- 该框架旨在将人工智能从学术承诺转变为在过敏和免疫学实践中的切实临床益处.
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