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Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
REVIEW | Updated：2025-12-13

    • Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

    • “In the fight against ovarian cancer, radiomics and radiogenomics are emerging as powerful tools. Expert researchers have established an AI-based imaging system that accurately differentiates benign and malignant ovarian tumors, predicts survival rates, and opens up a new direction for precision medicine research.”
    • Military Medical Research   Vol. 12, Issue 9, Pages: 1369-1386(2025)

    • DOI：10.1186/s40779-024-00580-1    

      CLC：

    • Received：18 October 2023，

      Accepted：07 November 2024，

      Online First：14 December 2024，

      Published：2025-09

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  • Song Zeng, Xin-Lu Wang, Hua Yang. Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer[J]. Military Medical Research, 2025, 12(9): 1369-1386. DOI： 10.1186/s40779-024-00580-1.

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Related Author

Hua Yang
Yu-Qi Yang
Jing-Jing Da
Sheng Nie
Jing Yuan
Bi-Cheng Liu
Hua-Feng Liu
Qiong-Qiong Yang

Related Institution

Department of Critical Care Medicine, Maoming People’s Hospital
Department of Nephrology, Guizhou Provincial People’s Hospital
National Clinical Research Center for Kidney Disease, State Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University
Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine
Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University
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