Open Access

Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review)

  • Authors:
    • Yanli Wang
    • Weihong Lin
    • Xiaoling Zhuang
    • Xiali Wang
    • Yifang He
    • Luhong Li
    • Guorong Lyu
  • View Affiliations

  • Published online on: January 19, 2024     https://doi.org/10.3892/or.2024.8705
  • Article Number: 46
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Artificial intelligence (AI) has emerged as a crucial technique for extracting high‑throughput information from various sources, including medical images, pathological images, and genomics, transcriptomics, proteomics and metabolomics data. AI has been widely used in the field of diagnosis, for the differentiation of benign and malignant ovarian cancer (OC), and for prognostic assessment, with favorable results. Notably, AI‑based radiomics has proven to be a non‑invasive, convenient and economical approach, making it an essential asset in a gynecological setting. The present study reviews the application of AI in the diagnosis, differentiation and prognostic assessment of OC. It is suggested that AI‑based multi‑omics studies have the potential to improve the diagnostic and prognostic predictive ability in patients with OC, thereby facilitating the realization of precision medicine.
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March-2024
Volume 51 Issue 3

Print ISSN: 1021-335X
Online ISSN:1791-2431

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Copy and paste a formatted citation
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Spandidos Publications style
Wang Y, Lin W, Zhuang X, Wang X, He Y, Li L and Lyu G: Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review). Oncol Rep 51: 46, 2024.
APA
Wang, Y., Lin, W., Zhuang, X., Wang, X., He, Y., Li, L., & Lyu, G. (2024). Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review). Oncology Reports, 51, 46. https://doi.org/10.3892/or.2024.8705
MLA
Wang, Y., Lin, W., Zhuang, X., Wang, X., He, Y., Li, L., Lyu, G."Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review)". Oncology Reports 51.3 (2024): 46.
Chicago
Wang, Y., Lin, W., Zhuang, X., Wang, X., He, Y., Li, L., Lyu, G."Advances in artificial intelligence for the diagnosis and treatment of ovarian cancer (Review)". Oncology Reports 51, no. 3 (2024): 46. https://doi.org/10.3892/or.2024.8705