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Chen X, Huo XF, Wu Z, et al. Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers. Chin Med Sci J. 2021;36(3):196-203doi: 10.24920/003963.
Chen, X., Huo, X. F., Wu, Z., & Lu, J. J. (2021). Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers. Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih, 36(3), 196-203. https://doi.org/10.24920/003963
Chen, Xu, et al. "Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers." Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih vol. 36,3 (2021): 196-203. doi: https://doi.org/10.24920/003963
Chen X, Huo XF, Wu Z, Lu JJ. Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers. Chin Med Sci J. 2021 Sep 30;36(3):196-203. doi: 10.24920/003963. PMID: 34666872.
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Chin Med Sci J. 2021 Sep 30;36(3):196-203. doi: 10.24920/003963.

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih

Xu Chen, Xiao-Fei Huo, Zhe Wu, Jing-Jing Lu

Affiliations

  1. Department of Radiology, Beijing United Family Hospital, Beijing 100015, China.
  2. Department of Radiology, Fushun Central Hospital, Fushun, Liaoning 113006, China.

PMID: 34666872 DOI: 10.24920/003963

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.

Keywords: algorithm; artificial intelligence; machine learning; medical imaging; ovarian cancer; radiomics

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