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An artificial intelligence tool that may assist with interpretation of rapid plasma reagin test for syphilis: Development and on-site evaluation 期刊论文

编号：

08F0B25597915F2C25DA1D544B801F7A
作者：

Jin, Jiaxuan^[1] Han, Yan^[1,2] Yin, Yueping^[1,2] Zhu, Bangyong^[3] Wang, Guanqun^[4] Lu, Wenjie^[1] Wang, Hongchun^[1,2] Chen, Kai^[1,2] Zhu, Xiaoyu^[1,2] Xu, Wenqi^[1,2] Yang, Hedan^[1] Chen, Xiangsheng^[1,2] Yang, Yin^[1] Lin, Tong^[1,5]
语种：

英文
期刊：

JOURNAL OF INFECTION ISSN：0163-4453 2025 年 90 卷 4 期 ; APR
疾病分类：

梅毒
关键词：

Artificial intelligence Syphilis Rapid plasma reagin Interpretation
摘要：

Objectives: The rapid plasma reagin (RPR) test, a traditional method for diagnosing syphilis and evaluating treatment efficacy, relies on subjective interpretation and requires high technical proficiency. This study aimed to develop and validate a user-friendly RPR-artificial intelligence (AI) interpretative tool. Methods: A dataset comprising 600 images of photographed RPR cards from 276 negative and 223 positive RPR samples was used for model development. The reference result was based on consistent interpretations by at least two out of three experienced laboratory personnel. Then an interpretative model was developed using deep learning algorithms and loaded into smartphones for on-site interpretation at two clinical centers from October 2023 to April 2024. Results: The model demonstrated an accuracy of 8267% (95% CI 7182%-9009%) for reactive circles and 8444% (95% CI 6994%-9301%) for non-reactive circles. In the field study, 669 specimens showed a sensitivity of 9485% (95% CI 8929%-9773%), specificity of 9156% (95% CI 8878%-9371%), and concordance of 9223% (95% CI 8987%-9409%). The positive predictive value was 7414% (95% CI 6686%-8033%) and negative predictive value was 98.59% (95% CI 9698%-9938%). Conclusions: The tool assists in RPR interpretation standardization, enabling data traceability, and quality control for remote and underdeveloped areas. (c) 2025 The Authors. Published by Elsevier Ltd on behalf of The British Infection Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
推荐引用方式
GB/T 7714：

Jin Jiaxuan,Han Yan,Yin Yueping, et al. An artificial intelligence tool that may assist with interpretation of rapid plasma reagin test for syphilis: Development and on-site evaluation [J].JOURNAL OF INFECTION,2025,90(4).
APA：

Jin Jiaxuan,Han Yan,Yin Yueping,Zhu Bangyong,&Lin Tong.(2025).An artificial intelligence tool that may assist with interpretation of rapid plasma reagin test for syphilis: Development and on-site evaluation .JOURNAL OF INFECTION,90(4).
MLA：

Jin Jiaxuan, et al. "An artificial intelligence tool that may assist with interpretation of rapid plasma reagin test for syphilis: Development and on-site evaluation" .JOURNAL OF INFECTION 90,4(2025).
数据来源自科睿唯安Web of Science核心合集
入库时间：

2025/4/6 16:49:30
更新时间：

2025/4/6 16:49:30

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