Role Of Artificial Intelligence In Gynaecologic Oncology: Review

Maged Naser, Mohamed M. Nasr, Lamia H. Shehata

Abstract


      With the improvement of machine learning and deep learning models, artificial intelligence is now being utilized to the subject of medicine. In oncology, the use of artificial intelligence for the diagnostic comparison of medical images such as radiographic images, omics evaluation using genome data, and clinical data has been growing in latest years. There have been growing numbers of reviews on the use of artificial intelligence in the subject of gynaecologic malignancies, and we introduce a review of these studies. For cervical and endometrial cancers, the contrast of medical images, such as colposcopy, hysteroscopy, and magnetic resonance images, the usage of artificial intelligence is frequently reported. In ovarian cancer, many reviews mix the evaluation of medical images with the multi-omics evaluation of medical and genomic data using artificial intelligence. However, few find out about consequences can be applied in clinical practice, and further research is wished on the future.


Keywords


Artificial Intelligence, Deep Learning, Gynaecologic Oncology, Machine Learning, Neural Network.

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DOI: http://dx.doi.org/10.52155/ijpsat.v39.2.5496

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