Artificial intelligence in ovarian cancers- from diagnosis to treatment; a literature review

Authors

Cristina Bucur, Carol Davila University of Medicine and Pharmacy, Bucharest, RomaniaFollow
Irina Balescu, Carol Davila University of Medicine and Pharmacy, Bucharest, RomaniaFollow
Sorin Petrea, Carol Davila University of Medicine and PharmacyFollow
Bogdan Gaspar, Carol Davila University of Medicine and PharmacyFollow
Lucian Pop, Carol Davila University of Medicine and PharmacyFollow
Valentin Varlas, Carol Davila University of Medicine and PharmacyFollow
Marilena Stoian, Carol Davila University of Medicine and PharmacyFollow
Cristian Balalau, Carol Davila University of Medicine and Pharmacy, Bucharest, RomaniaFollow
Nicolae Bacalbasa, Carol Davila University of Medicine and PharmacyFollow

Abstract

Ovarian cancer remains the most lethal gynecological malignancy due to challenges in early detection stemming from a lack of reliable biomarkers. Despite this, various laboratory tests are commonly employed in clinical practice, some showing diagnostic and prognostic promise for ovarian cancer. This review aims to synthesize current literature to delineate the role of artificial intelligence (AI) in both the diagnosis—from laboratory tests to imaging—and treatment of ovarian cancers. Thus, the epidemiology, risk factors, pathology, screening methods, as well as the integration of AI in the diagnosis of ovarian cancer (AI based on both blood biomarkers and imaging-based ovarian cancer detection) are presented. AI and biomarkers show considerable potential in improving ovarian cancer management, but ongoing research efforts are necessary to refine these technologies and integrate them effectively into clinical practice. This approach aims to enhance diagnostic accuracy, predict patient outcomes, and ultimately improve treatment strategies for ovarian cancer patients.

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Recommended Citation

Bucur, Cristina; Balescu, Irina; Petrea, Sorin; Gaspar, Bogdan; Pop, Lucian; Varlas, Valentin; Stoian, Marilena; Balalau, Cristian; and Bacalbasa, Nicolae (2024) "Artificial intelligence in ovarian cancers- from diagnosis to treatment; a literature review," Journal of Mind and Medical Sciences: Vol. 11: Iss. 2, Article 2.
DOI: https://doi.org/10.22543/2392-7674.1531
Available at: https://scholar.valpo.edu/jmms/vol11/iss2/2