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Policymaker (health systems) article

A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer

Findings
  • Supporting technical documents that are health systems-relevant
    Not usually available for this document type
  • Scientific Abstract
    PubMed
  • Scientific Abstract
    Publisher
Recency, quality and context of the findings
  • Last year literature searched
    2026-02-01
  • Year Published
    2026
  • Quality Rating
    7/11 (AMSTAR rating from McMaster Health Forum)
  • Countries in which studies (included in the synthesis) were conducted
    China (9)
  • Global/regional focus
    Not yet available
  • Country focus
  • Low - and middle-income country (LMIC) focus
    At least one LMIC/Global South author
    At least one LMIC/Global South study included
Additional details about the research
  • Type of document
    Evidence syntheses addressing other questions
  • Type of question
    Not effectiveness
  • Focus
    Specific
  • Priority Area
    Not applicable
  • Health system topic(s)
    Delivery arrangements
    With what supports is care provided
    ICT/AI-enabled support for individuals who provide care
  • Theme
  • Domain
    Diseases
    Non-communicable diseases
    Cancer
    Technologies
    Diagnostics
Publication details
  • Citation
    Xiang L, Li Y, Li M, Qi X. A systematic review and meta-analysis of medical image-based artificial intelligence models for predicting metastasis in ovarian cancer. European Journal of Obstetrics & Gynecology and Reproductive Biology. 2026;323:115164.
  • DOI
    10.1016/j.ejogrb.2026.115164

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