ARTIFICIAL INTELLIGENCE IN SCREENING AND EARLY DIAGNOSIS OF CERVICAL AND ENDOMETRIAL CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS OF STUDIES
Dilroza AnvarovnaFergana Medical Institute of Public Health, Faculty of Preventive Medicine, 1st-year studentAtakhanov Sanjarbek AnvarovichUzbekistan,Fergana Medical Institute of Public Health Department of "Biomedical Engineering, Biophysics and Information Technologies" Assistant Lecturer
Zenodo (CERN European Organization for Nuclear Research)repository2026
ABI
Abstract
Cervical cancer, originating from two types of covering epithelium, has two main histological variants — squamous cell carcinoma (keratinizing and non-keratinizing) and adenocarcinoma arising from the columnar epithelium. Epidemiological studies show that there are two age peaks in the incidence of cervical cancer: at 34–36 years, when squamous cell carcinoma predominates, and at 60–62 years, when the proportion of cervical adenocarcinoma increases. Cervical cancer ranks third in frequency among malignant neoplasms of the female genital organs. In recent years, there has been an annual increase in the incidence of cervical cancer, especially among young women, by 2%.
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