Application of artificial intelligence in gynecologic malignancies: A review. Issue 8 (10th May 2021)

• Record Type: Journal Article
• Authors: Sone, Kenbun; Toyohara, Yusuke; Taguchi, Ayumi; Miyamoto, Yuichiro; Tanikawa, Michihiro; Uchino‐Mori, Mayuyo; Iriyama, Takayuki; Tsuruga, Tetsushi; Osuga, Yutaka
• Is Part Of: Journal of obstetrics and gynaecology research. Volume 47:Issue 8(2021)
• Page Start: 2577
• Page End: 2585
• Publication Date: 2021-05-10
• Subjects: artificial intelligence -- deep learning -- gynecological malignancies -- machine learning -- neural network; Gynecology -- Periodicals; Obstetrics -- Periodicals; 618.1005
• DOI: 10.1111/jog.14818
• Languages: English
• ISSNs: 1341-8076

Abstract

Abstract: 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.