Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.
- Author:
Xu CHEN
1
;
Xiao-Fei HUO
1
;
Zhe WU
2
;
Jing-Jing LU
1
Author Information
- Publication Type:Review
- Keywords: algorithm; artificial intelligence; machine learning; medical imaging; ovarian cancer; radiomics
- MeSH: Artificial Intelligence; Female; Humans; Magnetic Resonance Imaging; Ovarian Neoplasms/diagnostic imaging*; Prognosis; Tomography, X-Ray Computed
- From: Chinese Medical Sciences Journal 2021;36(3):196-203
- CountryChina
- Language:English
- Abstract: 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.
