Application of artificial intelligence in CT and MR imaging of ovarian cancer

Ovarian cancer is one of the three most common gynaecological cancers in the world, accounting for 4.7% of all female cancer deaths. In the past few years, many researchers have attempted to develop and apply artificial intelligence (AI) techniques to multiple clinical scenarios of ovarian cancer, especially in the medical imaging field. AI-assisted imaging studies have involved computer tomography (CT), ultrasonography (US), and magnetic resonance (MR). This paper reviews the application of artificial intelligence technology based on medical imaging in the treatment of ovarian cancer and expounds on the application progress of artificial intelligence technology in the treatment of ovarian cancer from the aspects of medical diagnosis, pathological classification, targeted biopsy guidance and prognosis prediction. Additionally, the research status and problems of artificial intelligence in ovarian cancer are discussed.