Volume 45 Issue 10
Oct.  2024
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Article Navigation >  Journal of Kunming Medical University  > 2024  >  45(10): 135-139
Xiaolin LIU, Qingxin XIE, Piao LI, Qian ZHANG, Ai YANG, Weidong LU. Studies on the Preparation Method of Influenza Vaccine Liposome and the Effect of Particle Size on Immunogenicity[J]. Journal of Kunming Medical University, 2022, 43(5): 7-11. doi: 10.12259/j.issn.2095-610X.S20220508
Citation: Xiaoxiao ZHANG, Lulu LIU, Feng YAN, Jinlan YANG, Zhiqiang WANG, Meili HU. Analysis of Results from AI-Assisted Cervical Cancer Screening for Rural Women in Baoding City[J]. Journal of Kunming Medical University, 2024, 45(10): 135-139. doi: 10.12259/j.issn.2095-610X.S20241021
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Analysis of Results from AI-Assisted Cervical Cancer Screening for Rural Women in Baoding City

doi: 10.12259/j.issn.2095-610X.S20241021
  • 1.

    Baoding Maternal and Child Health Hospital，Baoding Hebei 071000

  • 2.

    Handan First Hospital，Handan Hebei 056000

  • 3.

    Key Laboratory of Public Health Safety of Hebei Province/ Public Health College，Hebei University，Baoding Hebei 071000，China

  • Received Date: 2024-08-10
    Available Online: 2024-10-14
  • Publish Date: 2024-10-31
    Abstract
  •   Objective  To analyze the data of the artificial intelligence cervical cancer screening project in Baoding in 2021, understand the effect and existing problems of cervical cancer screening in Baoding, and provide a basis for improving the prevention and treatment of cervical cancer in the rural women population.  Methods  Screening data for married rural women aged 35-64 from three counties in Baoding City in 2021 were collected, and the data of precancerous lesions and cervical cancer screening was analyzed.  Results   The results show that artificial intelligence-assisted cervical cancer screening identified 863 cases of positive cytology, with a positivity rate of 7.94%. Additionally, 542 women with positive cytology underwent colposcopy, which revealed 18 cases of low-grade lesions, 20 cases of high-grade lesions, and 1 case of cervical cancer. There were statistically significant differences in the detection rates of AUSCS+, low-grade lesions, and high-grade lesions across three counties in Baoding from 2019 to 2021 （χ2 = 858.90, P < 0.001; χ2 = 14.28, P=0.003; χ2 = 10.75, P = 0.013）.  Conclusion   The artificial intelligence cervical cancer screening project has shown some success, but there are still issues like a high rate of missed abnormal cases. The screening and prevention efforts for cervical cancer in Baoding City need further improvement.
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