[1]石晓君.智能筛查信息系统在女性两癌筛查中的应用[J].医学信息,2026,39(10):57-63.[doi:10.3969/j.issn.1006-1959.2026.10.009]
　SHI Xiaojun.Application of Intelligent Screening System in Female Cervical Cancer and Breast Cancer Screening[J].Journal of Medical Information,2026,39(10):57-63.[doi:10.3969/j.issn.1006-1959.2026.10.009]
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智能筛查信息系统在女性两癌筛查中的应用()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
39卷
期数:
2026年10期
页码:
57-63
栏目:
临床信息学
出版日期:
2026-05-15

文章信息/Info

Title:
Application of Intelligent Screening System in Female Cervical Cancer and Breast Cancer Screening
文章编号:
1006-1959（2026）10-0057-07
作者:
石晓君
深圳市南山区妇幼保健院信息科，广东 深圳 518067
Author(s):
SHI Xiaojun
Information Department of Shenzhen Nanshan Maternity and Child Healthcare Hospital, Shenzhen 518067, Guangdong, China
关键词:
智能筛查信息系统; 宫颈癌; 乳腺癌
Keywords:
Intelligent screening information system;  Cervical cancer;  Breast cancer
分类号:
R197
DOI:
10.3969/j.issn.1006-1959.2026.10.009
文献标志码:
A
摘要:
宫颈癌和乳腺癌为威胁女性健康的主要恶性肿瘤，尽管早期筛查显著降低了两癌的发病率和死亡率，但我国的筛查覆盖面和效果仍有不足。随着人工智能（AI）、云计算和大数据等技术的发展，智能筛查信息系统为两癌筛查提供了新的解决方案。本研究通过文献回顾系统探讨了智能筛查信息系统在乳腺癌和宫颈癌筛查中的应用。智能筛查信息系统依托数据采集、图像处理、AI算法、大数据分析、云计算等关键技术，显著提高了筛查的准确性和效率。然而，其广泛应用仍面临技术、社会心理、经济和管理等挑战，包括AI工具的错误风险、患者参与度低、成本高昂以及数据共享和整合能力不足等问题。未来研究应在技术创新、临床验证、患者信任度提升、成本控制以及数据共享方面持续探索，以推动两癌筛查的精准化和普及化发展。
Abstract:
Cervical cancer and breast cancer are the main malignant tumors that threaten women′s health. Although early screening significantly reduces the incidence and mortality of both cancers, the coverage and effect of screening in China are still insufficient. With the development of artificial intelligence (AI), cloud computing and big data technologies, the intelligent screening information system provides a new solution for both cancer screening. This study explores the application of intelligent screening information systems in breast cancer and cervical cancer screening through a literature review system. The results show that the intelligent screening information system relies on data acquisition and image processing, AI algorithm, big data analysis, cloud computing and other key technologies to significantly improve the accuracy and efficiency of screening. However, its widespread application still faces technical, psychosocial, economic, and managerial challenges, including the risk of error in AI tools, low patient engagement, high costs, and insufficient data sharing and integration capabilities. Future research should continue to explore technological innovation, clinical verification, patient trust improvement, cost control and data sharing, so as to promote the precise and universal development of both cancer screening.

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更新日期/Last Update: 1900-01-01