Artificial Intelligence in Gynecologic Cancer: A Review of Applications and Advancements
نویسندگان
1 Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran. - Department of Medical Informatics, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
2 Department of Emergency Medicine, Urmia University of Medical Sciences, Urmia, Iran.
3 Health and Biomedical Informatics Research Center, Urmia University of Medical Sciences, Urmia, Iran. - Department of Medical Informatics, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran.
4 Assistant Professor, Department of Health Information Technology, School of Allied Medical Sciences, Urmia University of Medical Sciences, Urmia, Iran. Corresponding Author. ORCID: https://orcid.org/0000-0002-9211-5934. Email: gozali_e@umsu.ac.ir.
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چکیده
Gynecologic cancers, including cervical, ovarian, endometrial, vaginal, and vulvar malignancies, remain a major global health burden, accounting for substantial morbidity and mortality among women. Despite advances in conventional treatments such as surgery, chemotherapy, and radiotherapy, survival outcomes remain suboptimal, particularly in cases diagnosed at advanced stages. In recent years, artificial intelligence ...
