基于人工智能和云诊断系统的全覆盖宫颈癌筛查计划的绩效:超大规模人群观察研究。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Lu Ji, Yifan Yao, Dandan Yu, Wen Chen, Shanshan Yin, Yun Fu, Shangfeng Tang, Lan Yao
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引用次数: 0

摘要

背景:世界卫生组织制定了消除宫颈癌的全球战略,强调宫颈癌筛查覆盖率要达到70%。为此,中国制定了加快消除宫颈癌的行动计划,湖北省利用人工智能(AI)和云诊断系统实施了中国首个省级全覆盖筛查项目:本研究旨在评估人工智能技术在该全覆盖筛查项目中的表现。评估指标包括可及性、筛查效率、诊断质量和项目成本:利用 2022 年 7 月至 2023 年 1 月期间筛查的 1,704,461 人的特征来分析可及性和人工智能筛查效率。随机抽取 220 人进行外部诊断质量控制。对不同参与筛查机构的成本进行了评估:宫颈癌筛查服务已扩展到所有行政区,尤其是农村地区。农村妇女的参与率最高,达到 67.54%(1 147 839/1 699 591)。约 170 万人接受了筛查,在约 6 个月的时间里,累计覆盖率达到 13.45%。人工智能技术可在约 1 年内实现全覆盖计划,其效率是人工读片的 87.5 倍。样本符合率高达 99.1%,阳性、阴性和病理活检复查的符合率均超过 96%。该项目的成本为每人 49 人民币(2022 年平均汇率如下:1 美元=6.7261 人民币),初筛机构和第三方检测机构分别获得 19 和 27 人民币:结论:事实证明,人工智能辅助诊断方便、高效、可靠且成本低廉,可支持全覆盖筛查计划的实施,尤其是在卫生资源不足的地区。人工智能技术是快速有效提高筛查覆盖率的重要工具,将加快实现世界卫生组织消除宫颈癌的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of a Full-Coverage Cervical Cancer Screening Program Using on an Artificial Intelligence- and Cloud-Based Diagnostic System: Observational Study of an Ultralarge Population.

Background: The World Health Organization has set a global strategy to eliminate cervical cancer, emphasizing the need for cervical cancer screening coverage to reach 70%. In response, China has developed an action plan to accelerate the elimination of cervical cancer, with Hubei province implementing China's first provincial full-coverage screening program using an artificial intelligence (AI) and cloud-based diagnostic system.

Objective: This study aimed to evaluate the performance of AI technology in this full-coverage screening program. The evaluation indicators included accessibility, screening efficiency, diagnostic quality, and program cost.

Methods: Characteristics of 1,704,461 individuals screened from July 2022 to January 2023 were used to analyze accessibility and AI screening efficiency. A random sample of 220 individuals was used for external diagnostic quality control. The costs of different participating screening institutions were assessed.

Results: Cervical cancer screening services were extended to all administrative districts, especially in rural areas. Rural women had the highest participation rate at 67.54% (1,147,839/1,699,591). Approximately 1.7 million individuals were screened, achieving a cumulative coverage of 13.45% in about 6 months. Full-coverage programs could be achieved by AI technology in approximately 1 year, which was 87.5 times more efficient than the manual reading of slides. The sample compliance rate was as high as 99.1%, and compliance rates for positive, negative, and pathology biopsy reviews exceeded 96%. The cost of this program was CN ¥49 (the average exchange rate in 2022 is as follows: US $1=CN ¥6.7261) per person, with the primary screening institution and the third-party testing institute receiving CN ¥19 and ¥27, respectively.

Conclusions: AI-assisted diagnosis has proven to be accessible, efficient, reliable, and low cost, which could support the implementation of full-coverage screening programs, especially in areas with insufficient health resources. AI technology served as a crucial tool for rapidly and effectively increasing screening coverage, which would accelerate the achievement of the World Health Organization's goals of eliminating cervical cancer.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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