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人工智能在过敏和免疫学中的机遇和挑战:一项文献计量研究

Ningkun Xiao^1,2, Xinlin Huang², Yujun Wu³

¹Department of Immunochemistry, Institution of Chemical Engineering, Ural Federal University, Yekaterinburg, Russia.

Frontiers in medicine

|April 24, 2025

概括

人工智能 (AI) 正在彻底改变过敏和免疫学研究和实践. 这项研究绘制了人工智能格局,揭示了个性化医疗保健未来进步的关键趋势和挑战.

科学领域:

过敏和免疫学过敏和免疫学
人工智能的人工智能
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 越来越多地被认为是其在过敏和免疫学中的变革潜力.
人工智能的采用正在重塑这些领域的研究,临床实践和医疗保健系统.
需要对人工智能的当前状态,趋势和未来在过敏和免疫学方面的研究方向进行系统的概述.

研究的目的:

系统地评估人工智能在过敏和免疫学中的应用的全球研究格局.
确定主要的贡献者,普遍的研究主题,以及在这个领域的合作模式.
提供对新兴趋势和未来研究热点的见解.

主要方法:

对3,883篇由21,552名作者在1,247个期刊上发表的文章进行了图书统计分析.
分析研究成果,科学影响和合作模式.
确定占主导地位的AI方法和应用领域.

主要成果:

美国和中国在研究成果和科学影响方面处于领先地位.
机器学习 (ML) 和深度学习 (DL) 是人工智能的关键方法.
应用范围包括药物发现,疾病预测,诊断和个性化医疗.

结论:

人工智能在过敏和免疫学领域正在动态发展,从诊断扩展到个性化医疗保健.
挑战包括技术限制,道德问题和监管框架.
应对这些挑战对于实现人工智能的潜力来改善全球健康结果至关重要.

关键词:

过敏和免疫学的过敏和免疫学.人工智能的人工智能是人工智能.圣经计量学研究研究深度学习是一种深度学习.健康管理健康管理免疫学免疫学免疫学机器学习是机器学习.

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