Exploring AI models and applications within a system framework.

Artificial intelligence (AI) has emerged as a pivotal catalyst for industrial advancement and economic growth, fueling innovation across various sectors. It stands as a cornerstone in propelling the integrated evolution of cutting‐edge technologies like big data, cloud computing, blockchain, 5G/6G a...

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Bibliographic Details
Published in:	Systems Research & Behavioral Science Vol. 42; no. 4; pp. 1163 - 1181
Main Authors:	Sun, Yu, Li, Ling, Yu, Zhaoyuan, Yu, Haiqing, Wang, Hecheng
Format:	Article
Published:	Wiley-Blackwell Jul/Aug2025
Subjects:	Artificial intelligence Work environment Medical ethics Clinical decision support systems Knowledge management Data analytics Natural language processing Blockchains Artificial neural networks Machine learning Cloud computing Algorithms
Online Access:	View this record in EBSCOhost

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Summary:	Artificial intelligence (AI) has emerged as a pivotal catalyst for industrial advancement and economic growth, fueling innovation across various sectors. It stands as a cornerstone in propelling the integrated evolution of cutting‐edge technologies like big data, cloud computing, blockchain, 5G/6G and industry 4.0. Consequently, AI has captured significant attention within academic and industrial spheres alike. This study conducts a comprehensive review of AI‐related research and models, offering systematic insights into its industrial applications and future trajectories. By providing valuable insights, this review serves as a crucial reference point for both researchers and practitioners navigating the dynamic landscape of AI innovation.