Chinese Medical Sciences Journal ›› 2021, Vol. 36 ›› Issue (3): 196-203.doi: 10.24920/003963

Special Issue: 人工智能与精准肿瘤学

• Review • Previous Articles     Next Articles

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers

Chen Xu1, Huo Xiaofei1, Wu Zhe2, Lu Jingjing1, *()   

  1. 1Department of Radiology, Beijing United Family Hospital, Beijing 100015, China
    2Department of Radiology, Fushun Central Hospital, Fushun, Liaoning 113006, China
  • Received:2021-06-30 Accepted:2021-08-24 Published:2021-09-30 Online:2021-08-30
  • Contact: Lu Jingjing
The article bring up the advances of AI in medical diagnosis, pathological classification, targeted biopsy guidance, and prognosis prediction of ovarian cancers.

Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women’s cancer. 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 field of medical imaging. AI-assisted imaging studies have involved computer tomography (CT), ultrasonography (US), and magnetic resonance imaging (MRI). In this review, we perform a literature search on the published studies that using AI techniques in the medical care of ovarian cancer, and bring up the advances in terms of four clinical aspects, including medical diagnosis, pathological classification, targeted biopsy guidance, and prognosis prediction. Meanwhile, current status and existing issues of the researches on AI application in ovarian cancer are discussed.

Key words: artificial intelligence, machine learning, ovarian cancer, radiomics, algorithm, medical imaging

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