MOCRA: A multi-algorithm clinical decision support system for the early detection of ovarian cancer

MOCRA demonstrates strong diagnostic performance and high clinician usability in this pilot evaluation, suggesting that deterministic integration of multiple validated algorithms can improve consistency and reduce missed high-risk cases. However, the small, single-center dataset-particularly the limited number of malignant cases-warrants cautious interpretation. Larger multicenter and prospective studies with extended follow-up are needed to confirm generalizability and real-world clinical impact.

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Publication Details

Journal
Journal of Ovarian Research
Published
2025-12-20
DOI
https://doi.org/10.1186/s13048-025-01929-3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

MOCRA: A multi-algorithm clinical decision support system for the early detection of ovarian cancer

Parvin Ghaffari, Mustafa Ghaderzadeh, A. Adljooy Safaie, Cirruse Salehnasab
Journal of Ovarian Research
AI in cancer detection
article

MOCRA: A multi-algorithm clinical decision support system for the early detection of ovarian cancer

Parvin Ghaffari, Mustafa Ghaderzadeh, A. Adljooy Safaie, Cirruse Salehnasab
article en

Abstract

MOCRA demonstrates strong diagnostic performance and high clinician usability in this pilot evaluation, suggesting that deterministic integration of multiple validated algorithms can improve consistency and reduce missed high-risk cases. However, the small, single-center dataset-particularly the limited number of malignant cases-warrants cautious interpretation. Larger multicenter and prospective studies with extended follow-up are needed to confirm generalizability and real-world clinical impact.

Journal of Ovarian ResearchVol. 19(1)
Urmia University (IR), Yasuj University of Medical Sciences (IR)
Openalex Percentile: Top 78%
AI in cancer detection
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