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.
Authors
- Parvin Ghaffari
- Mustafa Ghaderzadeh (ORCID: https://orcid.org/0000-0003-4016-3843)
- A. Adljooy Safaie
- Cirruse Salehnasab (ORCID: https://orcid.org/0000-0002-5615-9307)
Institutions
- Urmia University (IR)
- Yasuj University of Medical Sciences (IR)
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
- 0.00