APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS, STAGING, AND RISK STRATIFICATION OF ENDOMETRIAL CANCER: A LITERATURE REVIEW
E. Panshina; O. Yurikova; D. Toleshbayev; Sh. Atambayeva; Zh. Amankulov
- Published
- Publisher
- Kazakh Institute of Oncology and Radiology
- Journal / collection
- Eurasian Journal of Oncology and Radiology
- Research area
- AI & compute
- Source type
- Journal article
- DOI
- 10.52532/3135-3940-2026-3-765
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Cite this source
E. Panshina; O. Yurikova; D. Toleshbayev; Sh. Atambayeva; Zh. Amankulov. APPROACHES TO THE USE OF ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS, STAGING, AND RISK STRATIFICATION OF ENDOMETRIAL CANCER: A LITERATURE REVIEW. Eurasian Journal of Oncology and Radiology. 2026-10-06. https://doi.org/10.52532/3135-3940-2026-3-765