Publication Name	World Journal of Radiology
Manuscript ID	110447
Country	China

Category	Radiology, Nuclear Medicine & Medical Imaging
Manuscript Type	Minireviews
Article Title	Artificial intelligence in carotid computed tomography angiography plaque detection: Decade of progress and future perspectives
Manuscript Source	Invited Manuscript
All Author List	Dong-Yang Wang, Tie Yang, Chong-Tao Zhang, Peng-Chao Zhan, Zhen-Xing Miao, Bing-Lin Li and Hang Yang
Funding Agency and Grant Number	Funding Agency Grant Number Henan Province International Science and Technology Cooperation Project, 2024 No. 242102520054
Corresponding Author	Hang Yang, Department of Nursing, The Third People’s Hospital of Henan Province, No.346 Funiu Road, Zhengzhou 450000, Henan Province, China. p2413600@mpu.edu.mo
Key Words	Carotid artery disease; Artificial intelligence; Deep learning; Computed tomography angiography; Plaque segmentation; Medical image analysis
Core Tip	This is the first mini-review to comprehensively analyze artificial intelligence (AI)-driven advancements in carotid computed tomography angiography plaque detection over ten years. We provide novel insights into hybrid deep learning architectures, domain adaptation techniques, and their clinical translation. The work establishes quantitative benchmarks for diagnostic performance and highlights future directions for explainable AI systems in vascular imaging.
Citation	Wang DY, Yang T, Zhang CT, Zhan PC, Miao ZX, Li BL, Yang H. Artificial intelligence in carotid computed tomography angiography plaque detection: Decade of progress and future perspectives. World J Radiol 2025; In press

Received	2025-06-09 09:32
Peer-Review Started	2025-06-09 09:32
To Make the First Decision
Return for Revision	2025-07-25 07:18
Revised	2025-08-02 07:20
Second Decision	2025-08-27 02:37
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-08-27 10:30
Articles in Press	2025-08-27 10:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1949-8470 (online)
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