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Original Article | Open Access

Accelerating the elimination of global cervical cancer through intelligent training for colposcopy

Mingyang Chen1Jiayi Ma2Yijin Wu1Haiyan Hu3Xiaoli Cui4Maria José Gonzalez Mendez5Roberto Altamirano6Nomin-Erdene Tsogtgerel7,8Erdenejargal Ayush9Lingqing Qiu1Xinhua Jia1José Luis López Velázquez10Sulaiya Husaiyin11Aiyuan Wu12Man Tat Alexander Ng2 ( )Youlin Qiao1 ( )
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
Tencent Sustainable Social Value Inclusive Health Lab, Tencent, Beijing 100080, China
Department of Gynecology, Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University, Shenzhen 518028, China
Department of Gynecologic Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
Department of Primary Care and Family Health, Faculty of Medicine, University of Chile, Santiago 8380492, Chile
Department of Obstetrics and Gynecology, Hospital San Borja Arriaran, University of Chile, Santiago 7650778, Chile
Support Center for Interdisciplinary Collaboration Nongovernmental Organization, Ulaanbaatar 16052, Mongolia
Public Health Department, Dalian Medical University, Dalian 116044, China
Department of Gynecology, National Cancer Center of Mongolia, Ulaanbaatar 13370, Mongolia
Colposcopy Department, Hospital Regional Lic. Adolfo López Mateos ISSSTE, Mexico City 01030, Mexico
Department of Gynecology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 100001, China
Wuxi Maternity and Child Health Care Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi 214002, China
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Abstract

Objective

Cervical cancer remains a global health challenge with substantial disparities between countries. High-quality colposcopy is essential for cervical cancer prevention, yet training opportunities remain inadequate worldwide. We developed the Intelligent Digital Education Tool for Colposcopy (iDECO) to address training gaps and evaluated the effect across diverse international settings.

Methods

Six pre-post interventional training programmes were conducted in China, Mexico, and Mongolia from December 2024 to May 2025. A total of 369 trainees from 87 centers participated in a 3-week online training programme using iDECO, a bilingual web-based platform featuring authentic colposcopy cases, gamified learning pathways, and personalized analytics. The primary outcomes included colposcopy competence in general assessment, colposcopic findings, diagnostic accuracy, and management decisions. The secondary outcomes focused on participant feedback and satisfaction.

Results

Of 369 participants who completed pretests, 333 (90.24%) completed post-training assessments. Significant improvements were observed across all competency domains. Diagnostic accuracy increased with an odds ratio (OR) of 1.72 (95% CI: 1.60–1.86) with the greatest gains in high-grade lesion identification [OR = 2.27 (95% CI: 1.94–2.64)]. Squamocolumnar junction visibility and transformation zone type assessments improved with ORs of 1.41 (95% CI: 1.31–1.51) and 1.87 (95% CI: 1.73–2.01), respectively. Biopsy decision-making accuracy also showed significant improvement [OR = 2.09 (95% CI: 1.91–2.29)]. International participants showed lower baseline performance but achieved the greatest improvements. Greater than 85% of participants rated the training highly satisfactory and 83.56% preferred intelligent training over traditional methods.

Conclusions

iDECO-based training significantly improved colposcopy competence across diverse international settings with high user satisfaction. These findings support the potential for worldwide implementation of intelligent digital training tools to address colposcopy training gaps and contribute to the elimination of cervical cancer.

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Cancer Biology & Medicine
Pages 1036-1052

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Cite this article:
Chen M, Ma J, Wu Y, et al. Accelerating the elimination of global cervical cancer through intelligent training for colposcopy. Cancer Biology & Medicine, 2025, 22(9): 1036-1052. https://doi.org/10.20892/j.issn.2095-3941.2025.0403

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Received: 21 July 2025
Accepted: 02 September 2025
Published: 01 September 2025
©2025 The Authors.

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