This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Decision Support for Health Professionals (1539) Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Computer-Aided Diagnosis (251) Innovations and Technology in Cancer Care (531) Precision Medicine (159)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67922, first published .
AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis

AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis

AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis

Authors of this article:

He-Li Xu1, 2, 3 Author Orcid Image ;   Xiao-Ying Li1, 2, 3 Author Orcid Image ;   Ming-Qian Jia1, 2, 3, 4 Author Orcid Image ;   Qi-Peng Ma5 Author Orcid Image ;   Ying-Hua Zhang6 Author Orcid Image ;   Fang-Hua Liu1, 2, 3 Author Orcid Image ;   Ying Qin1, 2, 3, 4 Author Orcid Image ;   Yu-Han Chen4, 5 Author Orcid Image ;   Yu Li4, 5 Author Orcid Image ;   Xi-Yang Chen1, 2, 3, 4 Author Orcid Image ;   Yi-Lin Xu1, 2, 3 Author Orcid Image ;   Dong-Run Li1, 2, 3 Author Orcid Image ;   Dong-Dong Wang1, 2, 3, 4 Author Orcid Image ;   Dong-Hui Huang1, 2, 3 Author Orcid Image ;   Qian Xiao1, 5 Author Orcid Image ;   Yu-Hong Zhao1, 2, 3 Author Orcid Image ;   Song Gao5 Author Orcid Image ;   Xue Qin5 Author Orcid Image ;   Tao Tao5 Author Orcid Image ;   Ting-Ting Gong5 Author Orcid Image ;   Qi-Jun Wu1, 2, 3, 4, 5, 7 Author Orcid Image
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  1. Garg P, Krishna M, Kulkarni P, Horne D, Salgia R, Singhal S. Machine Learning Models for Predicting Gynecological Cancers: Advances, Challenges, and Future Directions. Cancers 2025;17(17):2799 View
  2. Chen J, Xi J, Chen T, Yang L, Liu K, Ding X. Diagnostic Performance of Computed Tomography–Based Artificial Intelligence for Early Recurrence of Cholangiocarcinoma: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e78306 View
  3. Vashist A, Manickam P, Karuppaiah G, Perez Alvarez G, Andion Camargo V, Bhunia S, Kolishetti N, Raymond A, Yndart Arias A, Vashist A, Atluri V, Runowicz C, Nair M. Recent Advances in Diagnostic Strategies and Nanotechnology-Based Therapies for Ovarian Cancer Treatment. ACS Applied Bio Materials 2025;8(10):8421 View
  4. Li Y, Guo M, Yang H, Chi H, Chen P. Development and Validation of an Interpretable Machine Learning Model for Predicting Hospital Mortality in ICU-Admitted Ovarian Cancer Patients: A Multicenter Study. International Journal of Gynecological Cancer 2025:102689 View