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Application of artificial intelligence in gynecologic malignancies: A review
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- Yuichiro Miyamoto
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Michihiro Tanikawa
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Mayuyo Uchino‐Mori
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Takayuki Iriyama
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Tetsushi Tsuruga
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Ayumi Taguchi
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Yutaka Osuga
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Kenbun Sone
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
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- Yusuke Toyohara
- Department of Obstetrics and Gynecology, Faculty of Medicine The University of Tokyo Tokyo Japan
Bibliographic Information
- Published
- 2021-05-10
- Resource Type
- journal article
- Rights Information
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1111/jog.14818
- Publisher
- Wiley
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Description
<jats:title>Abstract</jats:title><jats:p>With the development of machine learning and deep learning models, artificial intelligence is now being applied to the field of medicine. In oncology, the use of artificial intelligence for the diagnostic evaluation of medical images such as radiographic images, omics analysis using genome data, and clinical information has been increasing in recent years. There have been increasing numbers of reports on the use of artificial intelligence in the field of gynecologic malignancies, and we introduce and review these studies. For cervical and endometrial cancers, the evaluation of medical images, such as colposcopy, hysteroscopy, and magnetic resonance images, using artificial intelligence is frequently reported. In ovarian cancer, many reports combine the assessment of medical images with the multi‐omics analysis of clinical and genomic data using artificial intelligence. However, few study results can be implemented in clinical practice, and further research is needed in the future.</jats:p>
Journal
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- Journal of Obstetrics and Gynaecology Research
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Journal of Obstetrics and Gynaecology Research 47 (8), 2577-2585, 2021-05-10
Wiley
