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智能成像技术在多学科医院中的应用。

Intelligent imaging technology applications in multidisciplinary hospitals.

作者信息

Fan Ke, Yang Lei, Ren Fei, Zhang Xueyuan, Liu Bo, Zhao Ze, Gu Jianwen

机构信息

Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.

The Ninth Medical Center of Chinese PLA General Hospital, Beijing 100101, China.

出版信息

Chin Med J (Engl). 2024 Dec 20;137(24):3083-3092. doi: 10.1097/CM9.0000000000003436. Epub 2024 Dec 18.

Abstract

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.

摘要

随着人工智能技术的快速发展,其在医学成像中的应用日益广泛。本综述旨在通过研究智能成像技术在各个医学科室的应用,分析其当前的发展现状和未来方向。为实现这一目标,我们基于全面搜索的原则,对截至2024年的各种数据来源进行了全面检索,包括PubMed、科学网和谷歌学术。共筛选出332篇文章,在应用纳入和排除标准后,选择了56篇文章进行本研究。根据研究结果,智能成像技术具有强大的图像识别能力,使其适用于医院各科室的多种医学成像模式。该技术通过提取和准确识别复杂特征,为各种医学图像的分析提供了一种高效的解决方案。因此,它显著有助于临床疾病的检测和诊断。其高准确性、敏感性和特异性使其成为临床诊断及相关任务中不可或缺的工具,从而提高了医疗服务的整体质量。智能成像技术在医疗保健中的应用显著提高了临床诊断的效率,从而实现对患者更准确、及时的评估。这项先进技术提供了一种更快、更精确的诊断方法,最终改善了患者护理和治疗结果。本综述分析了智能成像技术带来的社会经济变化,以提供更全面的评估。此外,我们系统地分析了智能成像技术当前的缺点及其未来发展方向,以便为未来的研究提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0844/11706584/19fb0c7b4cd2/cm9-137-3083-g001.jpg

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