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Cervical cancer screening aided by artificial intelligence, China.
Zhu, Xingce; Yao, Qiang; Dai, Wei; Ji, Lu; Yao, Yifan; Pang, Baochuan; Turic, Bojana; Yao, Lan; Liu, Zhiyong.
Afiliación
  • Zhu X; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
  • Yao Q; School of Political Science and Administration, Wuhan University, Wuhan, China.
  • Dai W; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
  • Ji L; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
  • Yao Y; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
  • Pang B; Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.
  • Turic B; Landing Artificial Intelligence Industry Research Institute, Wuhan, China.
  • Yao L; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
  • Liu Z; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 China.
Bull World Health Organ ; 101(6): 381-390, 2023 Jun 01.
Article en En | MEDLINE | ID: mdl-37265676
Objective: To implement and evaluate a large-scale online cervical cancer screening programme in Hubei Province, China, supported by artificial intelligence and delivered by trained health workers. Methods: The screening programme, which started in 2017, used four types of health worker: sampling health workers, slide preparation technicians, diagnostic health workers and cytopathologists. Sampling health workers took samples from the women on site; slide preparation technicians prepared slides for liquid-based cytology; diagnostic health workers identified negative samples and classified positive samples based on the Bethesda System after cytological assessment using online artificial intelligence; and cytopathologists reviewed positive samples and signed reports of the results online. The programme used fully automated scanners, online artificial intelligence, an online screening management platform, and mobile telephone devices to provide screening services. We evaluated the sustainability, performance and cost of the programme. Results: From 2017 to 2021, 1 518 972 women in 16 cities in Hubei Province participated in the programme, of whom 1 474 788 (97.09%) had valid samples for the screening. Of the 86 648 women whose samples were positive, 30 486 required a biopsy but only 19 495 had one. The biopsy showed that 2785 women had precancerous lesions and 191 had invasive cancers. The cost of screening was 6.31 United States dollars (US$) per woman for the public payer: US$ 1.03 administrative costs and US$ 5.28 online screening costs. Conclusion: Cervical cancer screening using artificial intelligence in Hubei Province provided a low-cost, accessible and effective service, which will contribute to achieving universal cervical cancer screening coverage in China.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Displasia del Cuello del Útero / Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Asia Idioma: En Revista: Bull World Health Organ Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Displasia del Cuello del Útero / Neoplasias del Cuello Uterino Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Asia Idioma: En Revista: Bull World Health Organ Año: 2023 Tipo del documento: Article Pais de publicación: Suiza