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Author

E. Panshina

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Review Open access Oct 2026

APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS, STAGING, AND RISK STRATIFICATION OF ENDOMETRIAL CANCER: A LITERATURE REVIEW

Relevance: Endometrial cancer (EC) is one of the most common malignant neoplasms of the female reproductive system in developed countries. Despite a relatively favorable prognosis when detected early, diagnosis at preclinical stages remains challenging, especially in patients with obesity, metabolic disorders, and conc...

E. Panshina, O. Yurikova, D. Toleshbayev et al. · 0 citations

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