Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study

Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study

IntroductionThe fields of allergy and immunology are increasingly recognizing the transformative potential of artificial intelligence (AI). Its adoption is reshaping research directions, clinical practices, and healthcare systems. However, a systematic overview identifying current statuses, emerging...

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Bibliographic Details
Main Authors: Ningkun Xiao, Xinlin Huang, Yujun Wu, Baoheng Li, Wanli Zang, Khyber Shinwari, Irina A. Tuzankina, Valery A. Chereshnev, Guojun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
allergy and immunology
immunology
machine learning
deep learning
health management
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1523902/full
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