Intelligent imaging technology applications in multidisciplinary hospitals

doi:10.1097/CM9.0000000000003436

	Intelligent imaging technology applications in multidisciplinary hospitals
	Fan, Ke 1; Yang, Lei 2; Ren, Fei 1; Zhang, Xueyuan 3; Liu, Bo 4; Zhao, Ze 1; Gu, Jianwen 2
	2024-12-20
发表期刊	CHINESE MEDICAL JOURNAL
ISSN	0366-6999
卷号	137 期号:24 页码:3083-3092
摘要	With the rapid development of artificial intelligence technology, its applications in medical imaging have become increasingly extensive. This review aimed to analyze the current development status and future direction of intelligent imaging technology by investigating its application in various medical departments. To achieve this, we conducted a comprehensive search of various data sources up to 2024, including PubMed, Web of Science, and Google Scholar, based on the principle of comprehensive search. A total of 332 articles were screened, and after applying the inclusion and exclusion criteria, 56 articles were selected for this study. According to the findings, intelligent imaging technology exhibits robust image recognition capabilities, making it applicable across diverse medical imaging modalities within hospital departments. This technology offers an efficient solution for the analysis of various medical images by extracting and accurately identifying complex features. Consequently, it significantly aids in the detection and diagnosis of clinical diseases. Its high accuracy, sensitivity, and specificity render it an indispensable tool in clinical diagnostics and related tasks, thereby enhancing the overall quality of healthcare services. The application of intelligent imaging technology in healthcare significantly enhances the efficiency of clinical diagnostics, resulting in more accurate and timely patient assessments. This advanced technology offers a faster and more precise diagnostic approach, ultimately improving patient care and outcomes. This review analyzed the socioeconomic changes brought about by intelligent imaging technology to provide a more comprehensive evaluation. Also, we systematically analyzed the current shortcomings of intelligent imaging technology and its future development directions, to enable future research.
关键词	Intelligent imaging technology Artificial intelligence Medical imaging Machine learning Deep learning Cardiology Neurology Oncology
DOI	10.1097/CM9.0000000000003436
收录类别	SCI
语种	英语
资助项目	Chongqing Medical Scientific Research Project[2024MSXM109] ; Science and Technology Innovation Key R&D Program of Chongqing[CSTB2022TIAD-STX0008]
WOS研究方向	General & Internal Medicine
WOS类目	Medicine, General & Internal
WOS记录号	WOS:001391311500013
出版者	LIPPINCOTT WILLIAMS & WILKINS
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40759
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Ze; Gu, Jianwen
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 9, Beijing 100101, Peoples R China 3.Chongqing Zhijian Life Technol Co Ltd, Chongqing 400039, Peoples R China 4.Jinfeng Lab, Chongqing 401329, Peoples R China
推荐引用方式 GB/T 7714	Fan, Ke,Yang, Lei,Ren, Fei,et al. Intelligent imaging technology applications in multidisciplinary hospitals[J]. CHINESE MEDICAL JOURNAL,2024,137(24):3083-3092.
APA	Fan, Ke.,Yang, Lei.,Ren, Fei.,Zhang, Xueyuan.,Liu, Bo.,...&Gu, Jianwen.(2024).Intelligent imaging technology applications in multidisciplinary hospitals.CHINESE MEDICAL JOURNAL,137(24),3083-3092.
MLA	Fan, Ke,et al."Intelligent imaging technology applications in multidisciplinary hospitals".CHINESE MEDICAL JOURNAL 137.24(2024):3083-3092.