Enhancing colposcopy training using a widely accessible digital education tool in China-Reference-Cited by-同舟云学术

Enhancing colposcopy training using a widely accessible digital education tool in China

Published:2023-11 Issue:5 Volume:229 Page:538.e1-538.e9
ISSN:0002-9378
Container-title:American Journal of Obstetrics and Gynecology
language:en
Short-container-title:American Journal of Obstetrics and Gynecology

Author:

Chen Mingyang,Xue Peng,Li Qing,Shen Yu,Ye Zichen,Wang Huike,Cui Xiaoli,Zhao Tiantian,Li Gaoqin,Seery Samuel,Wang Yanzhu,Lin Qiufen,Zhang Wenhua,Zhang Xun,Jiang Yu,Qiao Youlin

Funder

CAMS Innovation Fund for Medical Sciences

Publisher

Elsevier BV

Subject

Obstetrics and Gynecology

Reference24 articles.

1. Objective perspective in colposcopy;Nazeer;Best Pract Res Clin Obstet Gynaecol,2011

2. The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence;Xue;BMC Med,2020

3. Comparison of accuracy and reproducibility of colposcopic impression based on a single image versus a two-minute time series of colposcopic images;Perkins;Gynecol Oncol,2022

4. The diagnostic accuracy of colposcopy - a review of research methodology and impact on the outcomes of quality assurance;Brown;Eur J Obstet Gynecol Reprod Biol,2019

5. Evaluating the feasibility of machine-learning-based predictive models for precancerous cervical lesions in patients referred for colposcopy;Chen;Diagnostics (Basel),2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessing colposcopy competencies in medically underserved communities: a multi-center study in China;BMC Cancer;2024-03-19

2. Genotype, cervical intraepithelial neoplasia, and type‐specific cervical intraepithelial neoplasia distributions in hrHPV+ cases referred to colposcopy: A multicenter study of Chinese mainland women;Journal of Medical Virology;2024-02-28

3. Chinese colposcopists' attitudes toward the colposcopic artificial intelligence auxiliary diagnostic system (CAIADS): A nation-wide, multi-center survey;DIGITAL HEALTH;2024-01